WorldWideScience

Sample records for online social network

  1. Online Advertising in Social Networks

    Science.gov (United States)

    Bagherjeiran, Abraham; Bhatt, Rushi P.; Parekh, Rajesh; Chaoji, Vineet

    Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. This chapter focuses on the role of social network information in online display advertising.

  2. Online social support networks.

    Science.gov (United States)

    Mehta, Neil; Atreja, Ashish

    2015-04-01

    Peer support groups have a long history and have been shown to improve health outcomes. With the increasing familiarity with online social networks like Facebook and ubiquitous access to the Internet, online social support networks are becoming popular. While studies have shown the benefit of these networks in providing emotional support or meeting informational needs, robust data on improving outcomes such as a decrease in health services utilization or reduction in adverse outcomes is lacking. These networks also pose unique challenges in the areas of patient privacy, funding models, quality of content, and research agendas. Addressing these concerns while creating patient-centred, patient-powered online support networks will help leverage these platforms to complement traditional healthcare delivery models in the current environment of value-based care.

  3. Foraging Online Social Networks

    NARCIS (Netherlands)

    Koot, G.; Huis in ’t Veld, M.A.A.; Hendricksen, J.; Vries, A. de; Broek, E.L. van den

    2014-01-01

    A concise and practical introduction is given on Online Social Networks (OSN) and their application in law enforcement, including a brief survey of related work. Subsequently, a tool is introduced that can be used to search OSN in order to generate user profiles. Both its architecture and processing

  4. Foraging Online Social Networks

    NARCIS (Netherlands)

    Koot, G.; Huis in ’t Veld, M.A.A.; Hendricksen, J.; Vries, A. de; Broek, E.L. van den

    2014-01-01

    A concise and practical introduction is given on Online Social Networks (OSN) and their application in law enforcement, including a brief survey of related work. Subsequently, a tool is introduced that can be used to search OSN in order to generate user profiles. Both its architecture and processing

  5. Foraging online social networks

    NARCIS (Netherlands)

    Koot, Gijs; Huis in ’t Veld, Mirjam; Hendricksen, Joost; Kaptein, Rianne; Vries, Arnout; Broek, van den Egon L.; Hengst, den M.; Israël, M.; Zeng, D.; Veenman, C.; Wang, A.

    2014-01-01

    A concise and practical introduction is given on Online Social Networks (OSN) and their application in law enforcement, including a brief survey of related work. Subsequently, a tool is introduced that can be used to search OSN in order to generate user profiles. Both its architecture and processing

  6. Online social networking for radiology.

    Science.gov (United States)

    Auffermann, William F; Chetlen, Alison L; Colucci, Andrew T; DeQuesada, Ivan M; Grajo, Joseph R; Heller, Matthew T; Nowitzki, Kristina M; Sherry, Steven J; Tillack, Allison A

    2015-01-01

    Online social networking services have changed the way we interact as a society and offer many opportunities to improve the way we practice radiology and medicine in general. This article begins with an introduction to social networking. Next, the latest advances in online social networking are reviewed, and areas where radiologists and clinicians may benefit from these new tools are discussed. This article concludes with several steps that the interested reader can take to become more involved in online social networking. Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

  7. Online Identities and Social Networking

    Science.gov (United States)

    Maheswaran, Muthucumaru; Ali, Bader; Ozguven, Hatice; Lord, Julien

    Online identities play a critical role in the social web that is taking shape on the Internet. Despite many technical proposals for creating and managing online identities, none has received widespread acceptance. Design and implementation of online identities that are socially acceptable on the Internet remains an open problem. This chapter discusses the interplay between online identities and social networking. Online social networks (OSNs) are growing at a rapid pace and has millions of members in them. While the recent trend is to create explicit OSNs such as Facebook and MySpace, we also have implicit OSNs such as interaction graphs created by email and instant messaging services. Explicit OSNs allow users to create profiles and use them to project their identities on the web. There are many interesting identity related issues in the context of social networking including how OSNs help and hinder the definition of online identities.

  8. Dynamics in online social networks

    CERN Document Server

    Grabowicz, Przemyslaw A; Eguiluz, Victor M

    2012-01-01

    An increasing number of today's social interactions occurs using online social media as communication channels. Some online social networks have become extremely popular in the last decade. They differ among themselves in the character of the service they provide to online users. For instance, Facebook can be seen mainly as a platform for keeping in touch with close friends and relatives, Twitter is used to propagate and receive news, LinkedIn facilitates the maintenance of professional contacts, Flickr gathers amateurs and professionals of photography, etc. Albeit different, all these online platforms share an ingredient that pervades all their applications. There exists an underlying social network that allows their users to keep in touch with each other and helps to engage them in common activities or interactions leading to a better fulfillment of the service's purposes. This is the reason why these platforms share a good number of functionalities, e.g., personal communication channels, broadcasted status...

  9. ONLINE SOCIAL NETWORK INTERNETWORKING ANALYSIS

    Directory of Open Access Journals (Sweden)

    Bassant E.Youssef

    2014-10-01

    Full Text Available Online social networks (OSNs contain data about users, their relations, interests and daily activities andthe great value of this data results in ever growing popularity of OSNs. There are two types of OSNs data,semantic and topological. Both can be used to support decision making processes in many applicationssuch as in information diffusion, viral marketing and epidemiology. Online Social network analysis (OSNAresearch is used to maximize the benefits gained from OSNs’ data. This paper provides a comprehensive study of OSNs and OSNA to provide analysts with the knowledge needed to analyse OSNs. OSNs’internetworking was found to increase the wealth of the analysed data by depending on more than one OSNas the source of the analysed data. Paper proposes a generic model of OSNs’ internetworking system that an analyst can rely on. Twodifferent data sources in OSNs were identified in our efforts to provide a thorough study of OSNs, whichare the OSN User data and the OSN platform data. Additionally, we propose a classification of the OSNUser data according to its analysis models for different data types to shed some light into the current usedOSNA methodologies. We also highlight the different metrics and parameters that analysts can use toevaluate semantic or topologic OSN user data. Further, we present a classification of the other data typesand OSN platform data that can be used to compare the capabilities of different OSNs whether separate orin a OSNs’ internetworking system. To increase analysts’ awareness about the available tools they can use,we overview some of the currently publically available OSNs’ datasets and simulation tools and identifywhether they are capable of being used in semantic, topological OSNA, or both. The overview identifiesthat only few datasets includes both data types (semantic and topological and there are few analysis toolsthat can perform analysis on both data types. Finally paper present a scenario that

  10. Privacy and Security: Online Social Networking

    Directory of Open Access Journals (Sweden)

    Akriti Verma, Deepak Kshirsagar, Sana Khan

    2013-03-01

    Full Text Available Online Social Networking (OSN sites such asFacebook, Twitter, Google+ attract hundreds andmillions of users. Such social networks have acentralized architecture wherein user's private dataand user generated content are centrally owned by asingle administrative domain that managescommunication between its users. As a result,centralized social networks have gatheredunprecedented amounts of data about the behaviorsand personalities of individuals, raising majorprivacy and security concerns. This has put indemand for a decentralized social networking sitethat addresses the privacy and security issues.

  11. Anomaly detection in online social networks

    CERN Document Server

    Savage, David; Yu, Xinghuo; Chou, Pauline; Wang, Qingmai

    2016-01-01

    Anomalies in online social networks can signify irregular, and often illegal behaviour. Anomalies in online social networks can signify irregular, and often illegal behaviour. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators, and online fraudsters. In this paper we survey existing computational techniques for detecting anomalies in online social networks. We characterise anomalies as being either static or dynamic, and as being labelled or unlabelled, and survey methods for detecting these different types of anomalies. We suggest that the detection of anomalies in online social networks is composed of two sub-processes; the selection and calculation of network features, and the classification of observations from this feature space. In addition, this paper provides an overview of the types of problems that anomaly detection can address and identifies key areas of future research.

  12. Matching Community Structure Across Online Social Networks

    OpenAIRE

    Lin LI; Campbell, W. M.

    2016-01-01

    The discovery of community structure in networks is a problem of considerable interest in recent years. In online social networks, often times, users are simultaneously involved in multiple social media sites, some of which share common social relationships. It is of great interest to uncover a shared community structure across these networks. However, in reality, users typically identify themselves with different usernames across social media sites. This creates a great difficulty in detecti...

  13. Matching Community Structure Across Online Social Networks

    CERN Document Server

    Li, Lin

    2016-01-01

    The discovery of community structure in networks is a problem of considerable interest in recent years. In online social networks, often times, users are simultaneously involved in multiple social media sites, some of which share common social relationships. It is of great interest to uncover a shared community structure across these networks. However, in reality, users typically identify themselves with different usernames across social media sites. This creates a great difficulty in detecting the community structure. In this paper, we explore several approaches for community detection across online social networks with limited knowledge of username alignment across the networks. We refer to the known alignment of usernames as seeds. We investigate strategies for seed selection and its impact on networks with a different fraction of overlapping vertices. The goal is to study the interplay between network topologies and seed selection strategies, and to understand how it affects the detected community structu...

  14. Intercultural Communication in Online Social Networking Discourse

    Science.gov (United States)

    Chen, Hsin-I

    2017-01-01

    This article presents a case study that examines how an online social networking community is constituted through intercultural discourse on the part of one learner sojourning in the US. Using Byram's model of intercultural communicative competence, this study examines the learner's naturalistic communication in a social networking site (SNS). The…

  15. Modelling Users` Trust in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Iacob Cătoiu

    2014-02-01

    Full Text Available Previous studies (McKnight, Lankton and Tripp, 2011; Liao, Lui and Chen, 2011 have shown the crucial role of trust when choosing to disclose sensitive information online. This is the case of online social networks users, who must disclose a certain amount of personal data in order to gain access to these online services. Taking into account privacy calculus model and the risk/benefit ratio, we propose a model of users’ trust in online social networks with four variables. We have adapted metrics for the purpose of our study and we have assessed their reliability and validity. We use a Partial Least Squares (PLS based structural equation modelling analysis, which validated all our initial assumptions, indicating that our three predictors (privacy concerns, perceived benefits and perceived risks explain 48% of the variation of users’ trust in online social networks, the resulting variable of our study. We also discuss the implications and further research opportunities of our study.

  16. How do online social networks grow?

    Directory of Open Access Journals (Sweden)

    Konglin Zhu

    Full Text Available Online social networks such as Facebook, Twitter and Gowalla allow people to communicate and interact across borders. In past years online social networks have become increasingly important for studying the behavior of individuals, group formation, and the emergence of online societies. Here we focus on the characterization of the average growth of online social networks and try to understand which are possible processes behind seemingly long-range temporal correlated collective behavior. In agreement with recent findings, but in contrast to Gibrat's law of proportionate growth, we find scaling in the average growth rate and its standard deviation. In contrast, Renren and Twitter deviate, however, in certain important aspects significantly from those found in many social and economic systems. Whereas independent methods suggest no significance for temporally long-range correlated behavior for Renren and Twitter, a scaling analysis of the standard deviation does suggest long-range temporal correlated growth in Gowalla. However, we demonstrate that seemingly long-range temporal correlations in the growth of online social networks, such as in Gowalla, can be explained by a decomposition into temporally and spatially independent growth processes with a large variety of entry rates. Our analysis thus suggests that temporally or spatially correlated behavior does not play a major role in the growth of online social networks.

  17. Information diffusion in structured online social networks

    Science.gov (United States)

    Li, Pei; Zhang, Yini; Qiao, Fengcai; Wang, Hui

    2015-05-01

    Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.

  18. Geographies of an online social network

    CERN Document Server

    Lengyel, Balázs; Ságvári, Bence; Jakobi, Ákos; Kertész, János

    2015-01-01

    How is online social media activity structured in the geographical space? Recent studies have shown that in spite of earlier visions about the "death of distance", physical proximity is still a major factor in social tie formation and maintenance in virtual social networks. Yet, it is unclear, what are the characteristics of the distance dependence in online social networks. In order to explore this issue the complete network of the former major Hungarian online social network is analyzed. We find that the distance dependence is weaker for the online social network ties than what was found earlier for phone communication networks. For a further analysis we introduced a coarser granularity: We identified the settlements with the nodes of a network and assigned two kinds of weights to the links between them. When the weights are proportional to the number of contacts we observed weakly formed, but spatially based modules resembling to the borders of macro-regions, the highest level of regional administration in...

  19. Benford's Law Applies to Online Social Networks.

    Directory of Open Access Journals (Sweden)

    Jennifer Golbeck

    Full Text Available Benford's Law states that, in naturally occurring systems, the frequency of numbers' first digits is not evenly distributed. Numbers beginning with a 1 occur roughly 30% of the time, and are six times more common than numbers beginning with a 9. We show that Benford's Law applies to social and behavioral features of users in online social networks. Using social data from five major social networks (Facebook, Twitter, Google Plus, Pinterest, and LiveJournal, we show that the distribution of first significant digits of friend and follower counts for users in these systems follow Benford's Law. The same is true for the number of posts users make. We extend this to egocentric networks, showing that friend counts among the people in an individual's social network also follows the expected distribution. We discuss how this can be used to detect suspicious or fraudulent activity online and to validate datasets.

  20. Content Propagation in Online Social Networks

    NARCIS (Netherlands)

    Blenn, N.

    2014-01-01

    This thesis presents methods and techniques to analyze content propagation within online social networks (OSNs) using a graph theoretical approach. Important factors and different techniques to analyze and describe content propagation, starting from the smallest entity in a network, representing a u

  1. Online Formative Assessments with Social Network Awareness

    Science.gov (United States)

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

  2. Online Formative Assessments with Social Network Awareness

    Science.gov (United States)

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

  3. Security and trust in online social networks

    CERN Document Server

    Carminati, Barbara; Viviani, Marco; Viviani, Marco; Carminati, Barbara

    2013-01-01

    The enormous success and diffusion that online social networks (OSNs) are encountering nowadays is vastly apparent. Users' social interactions now occur using online social media as communication channels; personal information and activities are easily exchanged both for recreational and business purposes in order to obtain social or economic advantages. In this scenario, OSNs are considered critical applications with respect to the security of users and their resources, for their characteristics alone: the large amount of personal information they manage, big economic upturn connected to thei

  4. Link prediction in multiplex online social networks.

    Science.gov (United States)

    Jalili, Mahdi; Orouskhani, Yasin; Asgari, Milad; Alipourfard, Nazanin; Perc, Matjaž

    2017-02-01

    Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.

  5. Link prediction in multiplex online social networks

    Science.gov (United States)

    Jalili, Mahdi; Orouskhani, Yasin; Asgari, Milad; Alipourfard, Nazanin; Perc, Matjaž

    2017-02-01

    Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.

  6. A framework for online social networking features

    Directory of Open Access Journals (Sweden)

    Mohsen Shafiei Nikabadi

    2014-06-01

    Full Text Available Social networks form a basis for maintaining social contacts, finding users with common interests, creating local content and sharing information. Recently networks have created a fundamental framework for analyzing and modeling the complex systems. Users' behavior studies and evaluates the system performance and leads to better planning and implementation of advertising policies on the web sites. Therefore, this study offers a framework for online social networks' characteristics. In terms of objective, this survey is practical descriptive. Sampling has been done among 384 of graduate students who have good experiences of membership in online social network. Confirmatory factor analysis is used to evaluate the validity of variables in research model. Characteristics of online social networks are defined based on six components and framework's indexes are analyzed through factor analysis. The reliability is calculated separately for each dimension and since they are all above 0.7, the reliability of the study can be confirmed. According to our research results, in terms of size, the number of people who apply for membership in various online social networking is an important index. In terms of individual preference to connect with, people who are relative play essential role in social network development. In terms of homogeneity variable, the number of people who visit their friends’ pages is important for measuring frequency variable. In terms of frequency, the use of entertainment and recreation services is more important index. In terms of proximity, being in the same city is a more important index and index of creating a sense of belonging and confidence is more important for measuring reciprocity variable.

  7. From Offline Social Networks to Online Social Networks: Changes in Entrepreneurship

    Directory of Open Access Journals (Sweden)

    Yang SONG

    2015-01-01

    Full Text Available The paper reviewed studies of entrepreneurship based on the emergency of online social networks. Similar to offline social networks, entrepreneurs’ online social networks have their own unique characteristics. We first reviewed the offline network based research on entrepreneurship. Then we reviewed the studies of entrepreneurship in the context of online social networks including those focusing on topics of network structures and network ties. We highlighted online network communities based on the data collected from LinkedIn, Facebook and Twitter. Our research implies that both researcher and entrepreneurs are facing new opportunities due to the emergence of online social networks.

  8. Discrete Opinion Dynamics on Online Social Networks

    Institute of Scientific and Technical Information of China (English)

    HU Yan-Li; BAI Liang; ZHANG Wei-Ming

    2013-01-01

    This paper focuses on the dynamics of binary opinions {+1,-1} on online social networks consisting of heterogeneous actors.In our model,actors update their opinions under the interplay of social influence and selfaffirmation,which leads to rich dynamical behaviors on online social networks.We find that the opinion leading to the consensus features an advantage of the initially weighted fraction based on actors' strength over the other,instead of the population.For the role of specific actors,the consensus converges towards the opinion that a small fraction of high-strength actors hold,and individual diversity of self-affirmation slows down the ordering process of consensus.These indicate that high-strength actors play an essential role in opinion formation with strong social influence as well as high persistence.Further investigations show that the initial fraction of high-strength actors to dominate the evolution depends on the heterogeneity of the strength distribution,and less high-strength actors are needed in the case of a smaller exponent of power-law distribution of actors' strength.Our study provides deep insights into the role of social influence and self-affirmation on opinion formation on online social networks.

  9. Managing Trust in Online Social Networks

    Science.gov (United States)

    Bhuiyan, Touhid; Josang, Audun; Xu, Yue

    In recent years, there is a dramatic growth in number and popularity of online social networks. There are many networks available with more than 100 million registered users such as Facebook, MySpace, QZone, Windows Live Spaces etc. People may connect, discover and share by using these online social networks. The exponential growth of online communities in the area of social networks attracts the attention of the researchers about the importance of managing trust in online environment. Users of the online social networks may share their experiences and opinions within the networks about an item which may be a product or service. The user faces the problem of evaluating trust in a service or service provider before making a choice. Recommendations may be received through a chain of friends network, so the problem for the user is to be able to evaluate various types of trust opinions and recommendations. This opinion or recommendation has a great influence to choose to use or enjoy the item by the other user of the community. Collaborative filtering system is the most popular method in recommender system. The task in collaborative filtering is to predict the utility of items to a particular user based on a database of user rates from a sample or population of other users. Because of the different taste of different people, they rate differently according to their subjective taste. If two people rate a set of items similarly, they share similar tastes. In the recommender system, this information is used to recommend items that one participant likes, to other persons in the same cluster. But the collaborative filtering system performs poor when there is insufficient previous common rating available between users; commonly known as cost start problem. To overcome the cold start problem and with the dramatic growth of online social networks, trust based approach to recommendation has emerged. This approach assumes a trust network among users and makes recommendations

  10. Community Structure in Online Collegiate Social Networks

    Science.gov (United States)

    Traud, Amanda; Kelsic, Eric; Mucha, Peter; Porter, Mason

    2009-03-01

    Online social networking sites have become increasingly popular with college students. The networks we studied are defined through ``friendships'' indicated by Facebook users from UNC, Oklahoma, Caltech, Georgetown, and Princeton. We apply the tools of network science to study the Facebook networks from these five different universities at a single point in time. We investigate each single-institution network's community structure, which we obtain through partitioning the graph using an eigenvector method. We use both graphical and quantitative tools, including pair-counting methods, which we interpret through statistical analysis and permutation tests to measure the correlations between the network communities and a set of characteristics given by each user (residence, class year, major, and high school). We also analyze the single gender subsets of these networks, and the impact of missing demographical data. Our study allows us to compare the online social networks for the five schools as well as infer differences in offline social interactions. At the schools studied, we were able to define which characteristics of the Facebook users correlate best with friendships.

  11. Mining Trust Relationships from Online Social Networks

    Institute of Scientific and Technical Information of China (English)

    Yu Zhang; Tong Yu

    2012-01-01

    With the growing popularity of online social network,trust plays a more and more important role in connecting people to each other.We rely on our personal trust to accept recommendations,to make purchase decisions and to select transaction partners in the online community.Therefore,how to obtain trust relationships through mining online social networks becomes an important research topic.There are several shortcomings of existing trust mining methods.First,trust is category-dependent.However,most of the methods overlook the category attribute of trust relationships,which leads to low accuracy in trust calculation.Second,since the data in online social networks cannot be understood and processed by machines directly,traditional mining methods require much human effort and are not easily applied to other applications.To solve the above problems,we propose a semantic-based trust reasoning mechanism to mine trust relationships from online social networks automatically.We emphasize the category attribute of pairwise relationships and utilize Semantic Web technologies to build a domain ontology for data communication and knowledge sharing.We exploit role-based and behavior-based reasoning functions to infer implicit trust relationships and category-specific trust relationships.We make use of path expressions to extend reasoning rules so that the mining process can be done directly without much human effort.We perform experiments on real-life data extracted from Epinions.The experimental results verify the effectiveness and wide application use of our proposed method.

  12. Online social networking and mental health.

    Science.gov (United States)

    Pantic, Igor

    2014-10-01

    During the past decade, online social networking has caused profound changes in the way people communicate and interact. It is unclear, however, whether some of these changes may affect certain normal aspects of human behavior and cause psychiatric disorders. Several studies have indicated that the prolonged use of social networking sites (SNS), such as Facebook, may be related to signs and symptoms of depression. In addition, some authors have indicated that certain SNS activities might be associated with low self-esteem, especially in children and adolescents. Other studies have presented opposite results in terms of positive impact of social networking on self-esteem. The relationship between SNS use and mental problems to this day remains controversial, and research on this issue is faced with numerous challenges. This concise review focuses on the recent findings regarding the suggested connection between SNS and mental health issues such as depressive symptoms, changes in self-esteem, and Internet addiction.

  13. Social Network Influence on Online Behavioral Choices: Exploring Group Formation on Social Network Sites

    OpenAIRE

    Kwon, KH; Stefanone, MA; Barnett, GA

    2014-01-01

    Social media communication is characterized by reduced anonymity and off-to-online social interactions. These characteristics require scholars to revisit social influence mechanisms online. The current study builds on social influence literature to explore social network and gender effects on online behavior. Findings from a quasi-experiment suggest that both network-related variables and gender are significantly associated with online behavior. Perceived social environment, measured by perso...

  14. Finding Online Extremists in Social Networks

    CERN Document Server

    Klausen, Jytte; Zaman, Tauhid

    2016-01-01

    Online extremists in social networks pose a new form of threat to the general public. These extremists range from cyberbullies who harass innocent users to terrorist organizations such as the Islamic State of Iraq and Syria (ISIS) that use social networks to recruit and incite violence. Currently social networks suspend the accounts of such extremists in response to user complaints. The challenge is that these extremist users simply create new accounts and continue their activities. In this work we present a new set of operational capabilities to deal with the threat posed by online extremists in social networks. Using data from several hundred thousand extremist accounts on Twitter, we develop a behavioral model for these users, in particular what their accounts look like and who they connect with. This model is used to identify new extremist accounts by predicting if they will be suspended for extremist activity. We also use this model to track existing extremist users as they create new accounts by identif...

  15. Multigraph Sampling of Online Social Networks

    CERN Document Server

    Gjoka, Minas; Kurant, Maciej; Markopoulou, Athina

    2010-01-01

    State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods rely on the social graph being fully connected. Furthermore, the mixing time of the sampling process strongly depends on the characteristics of this graph. In this paper, we propose multigraph sampling, a novel technique that addresses these limitations. In particular, we consider several properties that define relations between users, including but not limited to interpersonal ties, e.g., friendship. We consider the graphs these relations induce and we perform a random walk on the union multigraph of these graphs. We design a computationally efficient way to perform multigraph sampling by randomly selecting the graph on which to walk at each iteration. We demonstrate the benefits of our approach through (i) simulation in synthetic graphs and (ii) measurements of Last.fm - an Internet website for music with social networking feature...

  16. Privacy in Online Social Networking Sites

    Directory of Open Access Journals (Sweden)

    M.Ida Evones

    2015-11-01

    Full Text Available There are more than 192 act ive social networking websites. Bringing every kind of social group together in one place and letting them interact is really a big thing indeed .Huge amount of information process in the sites each day, end up making it vulnerable to attack. There is no systematic framework taking into account the importance of privacy. Increased privacy settings don’t always guarantee privacy when there is a loop hole in the applications. Lack of user education results is over sharing. Privacy settings to limit access to some data are available, but these settings are never the default. Only a tiny minority make use of these. Online social network does not provide any demarcation line between private and public information. The personal informat ion shared in online social networks can harm the user in often unexpected ways. Private data is available in plenty. The major privacy problems are due to complicated privacy model, implementation errors and economic pressure. Until recently, not much work was done in this area. The recent papers, which I have collected is a Testimony to state that lot of work needs to be done in this area.

  17. HIV/AIDS, social capital, and online social networks.

    Science.gov (United States)

    Drushel, Bruce E

    2013-01-01

    The prospects for online social networks as sites of information-gathering and affiliation for persons with AIDS and others concerned about HIV/AIDS not only represent the latest development in a trend toward circumventing traditional media and official information sources, but also may offer hope for a revitalization of HIV/AIDS discourse in the public sphere. This article provides an overview of three decades of information-seeking on the pandemic and its social and personal implications, as well as case studies of three examples of social networking surrounding HIV/AIDS. It finds preliminary evidence of the formation of strong and weak ties as described in Social Network Theory and suggests that the online accumulation of social capital by opinion leaders could facilitate dissemination of messages on HIV/AIDS awareness and testing.

  18. ONLINE JOURNALISM: Portals and Social Networks

    National Research Council Canada - National Science Library

    Costa Lima da Rocha, Heitor; França de Andrade Dantas Cavalcanti, Ivo Henrique

    2017-01-01

    .... To analyze the evolution of the network and its impact on the exercise of online journalism, becomes critical to understand the journalistic production and its relation to the online environment...

  19. Social features of online networks: the strength of weak ties in online social media

    CERN Document Server

    Grabowicz, Przemyslaw A; Moro, Esteban; Pujol, Josep; Eguiluz, Victor M

    2011-01-01

    An increasing fraction of today social interactions occurs using online social media as communication channels. Recent worldwide events, such as the revolts in Middle East or the recent social movements in Spain, reflect their capacity to boost people coordination. Online networks display, in general, a rich internal structure where users can choose among different types and intensity of interactions. Despite of this and their growing popularity, there are still open questions regarding the social value of online relations. For example, the existence of users with thousands or millions of online friends sheds doubts on the relevance of these connections. In this work, we focus on Twitter, one of the most popular online social networks, and find that the network formed by the basic type of relations is organized in groups. The activity of the users in the network is related to the landscape determined by such groups. Twitter's distinction between different types o interactions allows us to establish a parallel...

  20. Online social networking in people with psychosis: A systematic review.

    Science.gov (United States)

    Highton-Williamson, Elizabeth; Priebe, Stefan; Giacco, Domenico

    2015-02-01

    Online social networking might facilitate the establishment of social contacts for people with psychosis, who are often socially isolated by the symptoms and consequences of their disorder. We carried out a systematic review exploring available evidence on the use of online social networking in people with psychosis. The review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included studies examined the use of the online social networking by people with an a priori diagnosis of psychosis (inclusive of bipolar disorder). Data from included studies were extracted and narratively synthesised. A total of 11 studies, published between 2005 and 2013, reported data on online social networking in people with psychosis. People with psychosis seem to spend more time in chat rooms or playing online games than control groups. The use of other online tools, such as Facebook or communication through e-mail, is lower or the same than controls. Online social networking was used by patients with psychosis for establishing new relationships, maintaining relationships/reconnecting with people and online peer support. Online social networking, in the form of forums or online chats, could play a role in strategies aimed at enhancing social networks and reduce the risk of isolation in this population. © The Author(s) 2014.

  1. Social networking in online support groups for health: how online social networking benefits patients.

    Science.gov (United States)

    Chung, Jae Eun

    2014-01-01

    An increasing number of online support groups (OSGs) have embraced the features of social networking. So far, little is known about how patients use and benefit from these features. By implementing the uses-and-gratifications framework, the author conducted an online survey with current users of OSGs to examine associations among motivation, use of specific features of OSG, and support outcomes. Findings suggest that OSG users make selective use of varied features depending on their needs, and that perceptions of receiving emotional and informational support are associated more with the use of some features than others. For example, those with strong motivation for social interaction use diverse features of OSG and make one-to-one connections with other users by friending. In contrast, those with strong motivation for information seeking limit their use primarily to discussion boards. Results also show that online social networking features, such as friending and sharing of personal stories on blogs, are helpful in satisfying the need for emotional support. The present study sheds light on online social networking features in the context of health-related OSGs and provides practical lessons on how to improve the capacity of OSGs to serve the needs of their users.

  2. Corporate Social Responsibility in Online Social Networks

    DEFF Research Database (Denmark)

    Horn, Christian; Brem, Alexander; Wölfl, S.

    2014-01-01

    Considering growing public awareness of social, ethical and ecological responsibility, companies have constantly been increasing their efforts in CSR communications. Social Media as tools of brand communication receive increasing attention and it is expected that the marketing sector...... will experience changes through this phenomenon in the future. This empirical study investigates the types of content that is communicated for different brands and industries in leading Social Media portals on the German market in 2011. It turns out that this kind of CSR communication differs in terms of portals...

  3. Corporate Social Responsibility in Online Social Networks

    DEFF Research Database (Denmark)

    Horn, Christian; Brem, Alexander; Wölfl, S.

    2014-01-01

    Considering growing public awareness of social, ethical and ecological responsibility, companies have constantly been increasing their efforts in CSR communications. Social Media as tools of brand communication receive increasing attention and it is expected that the marketing sector...... will experience changes through this phenomenon in the future. This empirical study investigates the types of content that is communicated for different brands and industries in leading Social Media portals on the German market in 2011. It turns out that this kind of CSR communication differs in terms of portals...

  4. Exploring Self-Disclosure in Online Social Networks

    Science.gov (United States)

    Velasco-Martin, Javier

    2013-01-01

    This project explores how experienced adult users of social media disclose personal information over online social networks (OSN). This work introduces a four-dimensional model to serve as a foundational framework for the study of online self-disclosure (OSD); these four dimensions are personal, social, technological and contextual, and support…

  5. Modern Social Support Structures: Online Social Networks and their Implications for Social Workers

    Directory of Open Access Journals (Sweden)

    Kala Chakradhar

    2009-03-01

    Full Text Available Mapping and assessing social networks and the quality of their social support is a valuable intervention strategy for social workers. These networks have now spread onto the digital realm in the form of Online Social Networks (OSNs. This study investigated the nature of social support provided by such networks to their users in a rural mid-South University (USA and explored parallels with the current understanding of social support in conventional social networks. A web-based survey administered to college students revealed that users of these online networks were predominantly undergraduate first year students, female, single, unemployed and from a variety of academic disciplines. The examination of the components of OSNs appears to mirror those of offline networks. They also seem to complement the effects of each other while contributing to an individual's support system. The paper concludes with critical implications of such online social networking for University students and social workers in practice and education.

  6. Hashkat: Large-scale simulations of online social networks

    CERN Document Server

    Ryczko, Kevin; Buhagiar, Nicholas; Tamblyn, Isaac

    2016-01-01

    Hashkat (http://hashkat.org) is a free, open source, agent based simulation software package designed to simulate large-scale online social networks (e.g. Twitter, Facebook, LinkedIn, etc). It allows for dynamic agent generation, edge creation, and information propagation. The purpose of hashkat is to study the growth of online social networks and how information flows within them. Like real life online social networks, hashkat incorporates user relationships, information diffusion, and trending topics. Hashkat was implemented in C++, and was designed with extensibility in mind. The software includes Shell and Python scripts for easy installation and usability. In this report, we describe all of the algorithms and features integrated into hashkat before moving on to example use cases. In general, hashkat can be used to understand the underlying topology of social networks, validate sampling methods of such networks, develop business strategy for advertising on online social networks, and test new features of ...

  7. Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults

    Science.gov (United States)

    Subrahmanyam, Kaveri; Reich, Stephanie M.; Waechter, Natalia; Espinoza, Guadalupe

    2008-01-01

    Social networking sites (e.g., MySpace and Facebook) are popular online communication forms among adolescents and emerging adults. Yet little is known about young people's activities on these sites and how their networks of "friends" relate to their other online (e.g., instant messaging) and offline networks. In this study, college students…

  8. SOCIAL NETWORK ANALYSIS IN AN ONLINE BLOGOSPHERE

    Directory of Open Access Journals (Sweden)

    DR. M. MOHAMED SATHIK

    2011-01-01

    Full Text Available Social network is a social structure that exists among the similar interest of individuals, organizations or even on relations like friendship. Social network analysis is the measure of relationship between people, organizations and processing entities. In today’s scenario, Internet is acting as an interface for the people who spread across the globe to exchange their ideas. Social network analysis is a Web 2.0 application, which facilitates the users tointeract, response and express their views. Social network analysis has greatest attention as a research area in computer science in the recent past. Blogs or weblogs are like catalogs that are maintained by individuals related to a particular topic of interest. In this problem, we analyze the blog responses as social networks that are posted by AIDS patients over a period of time.

  9. Modeling online social networks based on preferential linking

    Institute of Scientific and Technical Information of China (English)

    Hu Hai-Bo; Guo Jin-Li; Chen Jun

    2012-01-01

    We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation,preferential acceptance,and preferential attachment.Based on the linear preference,we propose an analyzable model,which illustrates the mechanism of network growth and reproduces the process of network evolution.Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network.This work provides a possible bridge between the micro-mechanisms of network growth and the macrostructures of online social networks.

  10. Entrepreneurial Idea Identification through Online Social Networks

    Science.gov (United States)

    Lang, Matthew C.

    2010-01-01

    The increasing use of social network websites may signal a change in the way the next generation of entrepreneurs identify entrepreneurial ideas. An important part of the entrepreneurship literature emphasizes how vital the use of social networks is to entrepreneurial idea identification, opportunity recognition, and ultimately new venture…

  11. Information Diffusion and Provenance in Online Social Media Networks

    Directory of Open Access Journals (Sweden)

    Naman Goel

    2013-06-01

    Full Text Available Traditional data mining techniques are going through an extensive research so as to suit their application in the dynamically evolving social media networks which are not only large in size but also require real time processing of data streams. One such application which is of social, industrial and political interest is to maximize (sometimes even minimize information diffusion in online social media networks. Word-of-mouth (w-o-m communications have been largely employed in a wide range of application scenarios ranging from marketing strategies to creating mass awareness. In recent years, we saw an explosion in the growth of online social networks with many successful service providers like Facebook, twitter,YouTube, LinkedIn etc. ruling the market. The use of online social networks is not limited to fun and building professional networks. Online social networks are now seen as a powerful medium to effect the social and political environment of a country and the world as a whole. Information on these social networking sites sometimes needs to be propagated very effectively and quickly to fulfill the concerned strategies. It is equally important that given some information present on social network, we are able to derive its origin so that rumours can be distinguished from truth. In this paper, we discuss some of the issues and challenges in information diffusion and provenance from online social networks point of view. We also discuss some of the approaches and models that have been used for information diffusion and provenance in online social networks in recent past. Some of these approaches have been evaluated by researchers for specific social network services but we will discuss them in a general sense.

  12. Social features of online networks: the strength of intermediary ties in online social media.

    Directory of Open Access Journals (Sweden)

    Przemyslaw A Grabowicz

    Full Text Available An increasing fraction of today's social interactions occur using online social media as communication channels. Recent worldwide events, such as social movements in Spain or revolts in the Middle East, highlight their capacity to boost people's coordination. Online networks display in general a rich internal structure where users can choose among different types and intensity of interactions. Despite this, there are still open questions regarding the social value of online interactions. For example, the existence of users with millions of online friends sheds doubts on the relevance of these relations. In this work, we focus on Twitter, one of the most popular online social networks, and find that the network formed by the basic type of connections is organized in groups. The activity of the users conforms to the landscape determined by such groups. Furthermore, Twitter's distinction between different types of interactions allows us to establish a parallelism between online and offline social networks: personal interactions are more likely to occur on internal links to the groups (the weakness of strong ties; events transmitting new information go preferentially through links connecting different groups (the strength of weak ties or even more through links connecting to users belonging to several groups that act as brokers (the strength of intermediary ties.

  13. Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior.

    Science.gov (United States)

    Althoff, Tim; Jindal, Pranav; Leskovec, Jure

    2017-02-01

    Many of today's most widely used computing applications utilize social networking features and allow users to connect, follow each other, share content, and comment on others' posts. However, despite the widespread adoption of these features, there is little understanding of the consequences that social networking has on user retention, engagement, and online as well as offline behavior. Here, we study how social networks influence user behavior in a physical activity tracking application. We analyze 791 million online and offline actions of 6 million users over the course of 5 years, and show that social networking leads to a significant increase in users' online as well as offline activities. Specifically, we establish a causal effect of how social networks influence user behavior. We show that the creation of new social connections increases user online in-application activity by 30%, user retention by 17%, and user offline real-world physical activity by 7% (about 400 steps per day). By exploiting a natural experiment we distinguish the effect of social influence of new social connections from the simultaneous increase in user's motivation to use the app and take more steps. We show that social influence accounts for 55% of the observed changes in user behavior, while the remaining 45% can be explained by the user's increased motivation to use the app. Further, we show that subsequent, individual edge formations in the social network lead to significant increases in daily steps. These effects diminish with each additional edge and vary based on edge attributes and user demographics. Finally, we utilize these insights to develop a model that accurately predicts which users will be most influenced by the creation of new social network connections.

  14. A last updating evolution model for online social networks

    Science.gov (United States)

    Bu, Zhan; Xia, Zhengyou; Wang, Jiandong; Zhang, Chengcui

    2013-05-01

    As information technology has advanced, people are turning to electronic media more frequently for communication, and social relationships are increasingly found on online channels. However, there is very limited knowledge about the actual evolution of the online social networks. In this paper, we propose and study a novel evolution network model with the new concept of “last updating time”, which exists in many real-life online social networks. The last updating evolution network model can maintain the robustness of scale-free networks and can improve the network reliance against intentional attacks. What is more, we also found that it has the “small-world effect”, which is the inherent property of most social networks. Simulation experiment based on this model show that the results and the real-life data are consistent, which means that our model is valid.

  15. Visualization of Influencing Nodes in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Prajit Limsaiprom

    2014-04-01

    Full Text Available The rise of the Internet accelerates the creation of various large-scale online social networks. The online social networks have brought considerable attention as an important medium for the information diffusion model, which can be described the relationships and activities among human beings. The online social networks’ relationships in the real world are too big to present with useful information to identify the criminal or cyber attacks. The methodology for information security analysis was proposed with the complementary of Cluster Algorithm and Social Network Analysis, which presented anomaly and cyber attack patterns in online social networks and visualized the influencing nodes of such anomaly and cyber attacks. The closet vertices of influencing nodes could not avoid from the harmfulness in social networking. The new proposed information security analysis methodology and results were significance analysis and could be applied as a guide for further investigate of social network behavior to improve the security model and notify the risk, computer viruses or cyber attacks for online social networks in advance.

  16. Emergence, evolution and scaling of online social networks.

    Science.gov (United States)

    Wang, Le-Zhi; Huang, Zi-Gang; Rong, Zhi-Hai; Wang, Xiao-Fan; Lai, Ying-Cheng

    2014-01-01

    Online social networks have become increasingly ubiquitous and understanding their structural, dynamical, and scaling properties not only is of fundamental interest but also has a broad range of applications. Such networks can be extremely dynamic, generated almost instantaneously by, for example, breaking-news items. We investigate a common class of online social networks, the user-user retweeting networks, by analyzing the empirical data collected from Sina Weibo (a massive twitter-like microblogging social network in China) with respect to the topic of the 2011 Japan earthquake. We uncover a number of algebraic scaling relations governing the growth and structure of the network and develop a probabilistic model that captures the basic dynamical features of the system. The model is capable of reproducing all the empirical results. Our analysis not only reveals the basic mechanisms underlying the dynamics of the retweeting networks, but also provides general insights into the control of information spreading on such networks.

  17. Methods of Profile Cloning Detection in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Zabielski Michał

    2016-01-01

    Full Text Available With the arrival of online social networks, the importance of privacy on the Internet has increased dramatically. Thus, it is important to develop mechanisms that will prevent our hidden personal data from unauthorized access and use. In this paper an attempt was made to present a concept of profile cloning detection in Online Social Networks (OSN using Graph and Networks Theory. By analysing structural similarity of network and value of attributes of user personal profile, we will be able to search for attackers which steal our identity.

  18. Sentiment Polarization and Balance among Users in Online Social Networks

    DEFF Research Database (Denmark)

    Hillmann, Robert; Trier, Matthias

    2012-01-01

    Communication within online social network applications enables users to express and share sentiments electronically. Existing studies examined the existence or distribution of sentiments in online communication at a general level or in small-observed groups. Our paper extends this research...... by analyzing sentiment exchange within social networks from an ego-network perspective. We draw from research on social influence and social attachment to develop theories of node polarization, balance effects and sentiment mirroring within communication dyads. Our empirical analysis covers a multitude...... of social networks in which the sentiment valence of all messages was determined. Subsequently we studied ego-networks of focal actors (ego) and their immediate contacts. Results support our theories and indicate that actors develop polarized sentiments towards individual peers but keep sentiment in balance...

  19. Sentiment Polarization and Balance among Users in Online Social Networks

    DEFF Research Database (Denmark)

    Hillmann, Robert; Trier, Matthias

    2012-01-01

    Communication within online social network applications enables users to express and share sentiments electronically. Existing studies examined the existence or distribution of sentiments in online communication at a general level or in small-observed groups. Our paper extends this research...... by analyzing sentiment exchange within social networks from an ego-network perspective. We draw from research on social influence and social attachment to develop theories of node polarization, balance effects and sentiment mirroring within communication dyads. Our empirical analysis covers a multitude...... of social networks in which the sentiment valence of all messages was determined. Subsequently we studied ego-networks of focal actors (ego) and their immediate contacts. Results support our theories and indicate that actors develop polarized sentiments towards individual peers but keep sentiment in balance...

  20. Social selection and peer influence in an online social network.

    Science.gov (United States)

    Lewis, Kevin; Gonzalez, Marco; Kaufman, Jason

    2012-01-03

    Disentangling the effects of selection and influence is one of social science's greatest unsolved puzzles: Do people befriend others who are similar to them, or do they become more similar to their friends over time? Recent advances in stochastic actor-based modeling, combined with self-reported data on a popular online social network site, allow us to address this question with a greater degree of precision than has heretofore been possible. Using data on the Facebook activity of a cohort of college students over 4 years, we find that students who share certain tastes in music and in movies, but not in books, are significantly likely to befriend one another. Meanwhile, we find little evidence for the diffusion of tastes among Facebook friends-except for tastes in classical/jazz music. These findings shed light on the mechanisms responsible for observed network homogeneity; provide a statistically rigorous assessment of the coevolution of cultural tastes and social relationships; and suggest important qualifications to our understanding of both homophily and contagion as generic social processes.

  1. Characterizing interactions in online social networks during exceptional events

    CERN Document Server

    Omodei, Elisa; Arenas, Alex

    2015-01-01

    Nowadays, millions of people interact on a daily basis on online social media like Facebook and Twitter, where they share and discuss information about a wide variety of topics. In this paper, we focus on a specific online social network, Twitter, and we analyze multiple datasets each one consisting of individuals' online activity before, during and after an exceptional event in terms of volume of the communications registered. We consider important events that occurred in different arenas that range from policy to culture or science. For each dataset, the users' online activities are modeled by a multilayer network in which each layer conveys a different kind of interaction, specifically: retweeting, mentioning and replying. This representation allows us to unveil that these distinct types of interaction produce networks with different statistical properties, in particular concerning the degree distribution and the clustering structure. These results suggests that models of online activity cannot discard the...

  2. Friend or Foe? Fake Profile Identification in Online Social Networks

    OpenAIRE

    Fire, Michael; Kagan, Dima; Elyashar, Aviad; Elovici, Yuval

    2013-01-01

    The amount of personal information unwillingly exposed by users on online social networks is staggering, as shown in recent research. Moreover, recent reports indicate that these networks are infested with tens of millions of fake users profiles, which may jeopardize the users' security and privacy. To identify fake users in such networks and to improve users' security and privacy, we developed the Social Privacy Protector software for Facebook. This software contains three protection layers,...

  3. Predicting Positive and Negative Links in Online Social Networks

    CERN Document Server

    Leskovec, Jure; Kleinberg, Jon

    2010-01-01

    We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or antagonism). Such a mix of positive and negative links arise in a variety of online settings; we study datasets from Epinions, Slashdot and Wikipedia. We find that the signs of links in the underlying social networks can be predicted with high accuracy, using models that generalize across this diverse range of sites. These models provide insight into some of the fundamental principles that drive the formation of signed links in networks, shedding light on theories of balance and status from social psychology; they also suggest social computing applications by which the attitude of one user toward another can be estimated from evidence provided by their relationships with other members of the surrounding social network.

  4. On the Behaviour of Deviant Communities in Online Social Networks

    CERN Document Server

    Coletto, Mauro; Lucchese, Claudio; Silvestri, Fabrizio

    2016-01-01

    On-line social networks are complex ensembles of inter-linked communities that interact on different topics. Some communities are characterized by what are usually referred to as deviant behaviors, conducts that are commonly considered inappropriate with respect to the society's norms or moral standards. Eating disorders, drug use, and adult content consumption are just a few examples. We refer to such communities as deviant networks. It is commonly believed that such deviant networks are niche, isolated social groups, whose activity is well separated from the mainstream social-media life. According to this assumption, research studies have mostly considered them in isolation. In this work we focused on adult content consumption networks, which are present in many on-line social media and in the Web in general. We found that few small and densely connected communities are responsible for most of the content production. Differently from previous work, we studied how such communities interact with the whole soc...

  5. Competition between global and local online social networks.

    Science.gov (United States)

    Kleineberg, Kaj-Kolja; Boguñá, Marián

    2016-04-27

    The overwhelming success of online social networks, the key actors in the Web 2.0 cosmos, has reshaped human interactions globally. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we study the impact of heterogeneity in network fitnesses on the competition between an international network, such as Facebook, and local services. The higher fitness of international networks is induced by their ability to attract users from all over the world, which can then establish social interactions without the limitations of local networks. In other words, inter-country social ties lead to increased fitness of the international network. To study the competition between an international network and local ones, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate completely. In particular, our model suggests that, with the parameters that best reproduce the empirical overtake of Facebook, this overtake could have not taken place with a significant probability.

  6. Competition between global and local online social networks

    Science.gov (United States)

    Kleineberg, Kaj-Kolja; Boguñá, Marián

    2016-04-01

    The overwhelming success of online social networks, the key actors in the Web 2.0 cosmos, has reshaped human interactions globally. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we study the impact of heterogeneity in network fitnesses on the competition between an international network, such as Facebook, and local services. The higher fitness of international networks is induced by their ability to attract users from all over the world, which can then establish social interactions without the limitations of local networks. In other words, inter-country social ties lead to increased fitness of the international network. To study the competition between an international network and local ones, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate completely. In particular, our model suggests that, with the parameters that best reproduce the empirical overtake of Facebook, this overtake could have not taken place with a significant probability.

  7. A Study of Malware Propagation via Online Social Networking

    Science.gov (United States)

    Faghani, Mohammad Reza; Nguyen, Uyen Trang

    The popularity of online social networks (OSNs) have attracted malware creators who would use OSNs as a platform to propagate automated worms from one user's computer to another's. On the other hand, the topic of malware propagation in OSNs has only been investigated recently. In this chapter, we discuss recent advances on the topic of malware propagation by way of online social networking. In particular, we present three malware propagation techniques in OSNs, namely cross site scripting (XSS), Trojan and clickjacking types, and their characteristics via analytical models and simulations.

  8. Virtual Social Networks Online and Mobile Systems

    Directory of Open Access Journals (Sweden)

    Maytham Safar

    2009-01-01

    Full Text Available Location-based applications are one of the most anticipated new segments of the mobile industry. These new applications are enabled by GPS-equipped phones (e.g., emergency applications, buddy finders, games, location-based advertising, etc.. These services are designed to give consumers instant access to personalized, local content of their immediate location. Some applications couple LBS with notification services, automatically alerting users when they are close to a pre-selected destination. With the advances in the Internet and communications/mobile technology, it became vital to analyze the effect of such technologies on human communications. This work studies how humans can construct social networks as a method for group communications using the available technologies. We constructed and analyzed a friends network using different parameters. The parameters that were calculated to analyze the network are the distribution sequence, characteristic path length, clustering coefficient and centrality measures. In addition, we built a PDA application that implements the concept of LBS using two system modules. In the first module, we have developed an application for entertainment purpose; an application program which enables end users to send their birth year and get their horoscope in return. The second part of the project was, to build an application, which helps people to stay in touch with their friends and family members (Find Friend. It helps users to find which of their buddies are within the same area they are in.

  9. Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation

    Science.gov (United States)

    Kwak, Doyeon

    2017-01-01

    It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks. PMID:28542367

  10. Cognitive Benefits of Online Social Networking for Healthy Older Adults.

    Science.gov (United States)

    Myhre, Janelle W; Mehl, Matthias R; Glisky, Elizabeth L

    2017-09-01

    Research suggests that older adults who remain socially active and cognitively engaged have better cognitive function than those who are isolated and disengaged. This study examined the efficacy of learning and using an online social networking website, Facebook.com, as an intervention to maintain or enhance cognitive function in older adults. Forty-one older adults were assigned to learn and use Facebook (n = 14) or an online diary website (active control, n = 13) for 8 weeks or placed on a waitlist (n = 14). Outcome measures included neuropsychological tests of executive functions, memory, and processing speed and self-report questionnaires about social engagement. The Facebook group showed a significant increase in a composite measure of updating, an executive function factor associated with complex working memory tasks, compared to no significant change in the control groups. Other measures of cognitive function and social support showed no differential improvement in the Facebook group. Learning and using an online social networking site may provide specific benefits for complex working memory in a group of healthy older adults. This may reflect the particular cognitive demands associated with online social networking and/or the benefits of social engagement more generally.

  11. Incorporating profile information in community detection for online social networks

    Science.gov (United States)

    Fan, W.; Yeung, K. H.

    2014-07-01

    Community structure is an important feature in the study of complex networks. It is because nodes of the same community may have similar properties. In this paper we extend two popular community detection methods to partition online social networks. In our extended methods, the profile information of users is used for partitioning. We apply the extended methods in several sample networks of Facebook. Compared with the original methods, the community structures we obtain have higher modularity. Our results indicate that users' profile information is consistent with the community structure of their friendship network to some extent. To the best of our knowledge, this paper is the first to discuss how profile information can be used to improve community detection in online social networks.

  12. Competitive diffusion in online social networks with heterogeneous users

    Science.gov (United States)

    Li, Pei; He, Su; Wang, Hui; Zhang, Xin

    2014-06-01

    Online social networks have attracted increasing attention since they provide various approaches for hundreds of millions of people to stay connected with their friends. However, most research on diffusion dynamics in epidemiology cannot be applied directly to characterize online social networks, where users are heterogeneous and may act differently according to their standpoints. In this paper, we propose models to characterize the competitive diffusion in online social networks with heterogeneous users. We classify messages into two types (i.e., positive and negative) and users into three types (i.e., positive, negative and neutral). We estimate the positive (negative) influence for a user generating a given type message, which is the number of times that positive (negative) messages are processed (i.e., read) incurred by this action. We then consider the diffusion threshold, above which the corresponding influence will approach infinity, and the effect threshold, above which the unexpected influence of generating a message will exceed the expected one. We verify all these results by simulations, which show the analysis results are perfectly consistent with the simulation results. These results are of importance in understanding the diffusion dynamics in online social networks, and also critical for advertisers in viral marketing where there are fans, haters and neutrals.

  13. Understanding the impact of online social networks on disruptive innovation

    NARCIS (Netherlands)

    Cizel, A; Boonstra, A.; Langley, D.J.; Tan, C.W.

    2013-01-01

    In this paper we explore the state of current knowledge about online social networks (OSNs), and their role in precipitating changes in existing market structures. We do so by reviewing more than 30 recent papers from top-ranked journals in the relevant fields of study. We begin by providing a compr

  14. Understanding the impact of online social networks on disruptive innovation

    NARCIS (Netherlands)

    Cizel, A; Boonstra, A.; Langley, D.J.; Tan, C.W.

    2013-01-01

    In this paper we explore the state of current knowledge about online social networks (OSNs), and their role in precipitating changes in existing market structures. We do so by reviewing more than 30 recent papers from top-ranked journals in the relevant fields of study. We begin by providing a

  15. Pharmacists on Facebook: online social networking and the profession.

    Science.gov (United States)

    Mattingly, T Joseph; Cain, Jeff; Fink, Joseph L

    2010-01-01

    To provide a brief history of Facebook and online social networking and discuss how it has contributed and can contribute in the future to a paradigm change in social communications. When student pharmacists complete school and enter practice, they encounter enhanced expectations to act appropriately and professionally. Facebook expands the dilemma of separating private and public life--a challenge for individuals in all professions. From the standpoint of a professional association, Facebook provides a tremendous opportunity to reach out to members in an unprecedented way. Pharmacy organizations are beginning to use these new tools to increase communication and dissemination of information. The popularity of Facebook has brought the issue of online social networking to the forefront of professional and organizational discussions. The issues of privacy, identity protection, and e-professionalism are likely to reappear as pharmacists and student pharmacists continue to communicate via online networks. The potential exists for organizations to harness this organizational and communication power for their own interests. Further study is needed regarding the interaction between online social networking applications and the profession of pharmacy.

  16. MULTI-FACET TRUST MODEL FOR ONLINE SOCIAL NETWORK ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Liu Ban Chieng

    2015-01-01

    Full Text Available Online Social Network (OSN has become the most popular platform on the Internet that can provide an interesting and creative ways to communicate, sharing and meets with peoples. As OSNs mature, issues regarding proper use of OSNs are also growing. In this research, the challenges of online social networks have been investigated. The current issues in some of the Social Network Sites are being studied and compared. Cyber criminals, malware attacks, physical threat, security and usability and some privacy issues have been recognized as the challenges of the current social networking sites. Trust concerns have been raised and the trustworthiness of social networking sites has been questioned. Currently, the trust in social networks is using the single- faceted approach, which is not well personalized, and doesn’t account for the subjective views of trust, according to each user, but only the general trust believes of a group of population. The trust level towards a person cannot be calculated and trust is lack of personalization. From our initial survey, we had found that most people can share their information without any doubts on OSN but they normally do not trust all their friends equally and think there is a need of trust management. We had found mixed opinions in relation to the proposed rating feature in OSNs too. By adopting the idea of multi-faceted trust model, a user-centric model that can personalize the comments/photos in social network with user’s customized traits of trust is proposed. This model can probably solve many of the trust issues towards the social networking sites with personalized trust features, in order to keep the postings on social sites confidential and integrity.

  17. Offline Social Relationships and Online Cancer Communication: Effects of Social and Family Support on Online Social Network Building.

    Science.gov (United States)

    Namkoong, Kang; Shah, Dhavan V; Gustafson, David H

    2016-11-08

    This study investigates how social support and family relationship perceptions influence breast cancer patients' online communication networks in a computer-mediated social support (CMSS) group. To examine social interactions in the CMSS group, we identified two types of online social networks: open and targeted communication networks. The open communication network reflects group communication behaviors (i.e., one-to-many or "broadcast" communication) in which the intended audience is not specified; in contrast, the targeted communication network reflects interpersonal discourses (i.e., one-to-one or directed communication) in which the audience for the message is specified. The communication networks were constructed by tracking CMSS group usage data of 237 breast cancer patients who participated in one of two National Cancer Institute-funded randomized clinical trials. Eligible subjects were within 2 months of a diagnosis of primary breast cancer or recurrence at the time of recruitment. Findings reveal that breast cancer patients who perceived less availability of offline social support had a larger social network size in the open communication network. In contrast, those who perceived less family cohesion had a larger targeted communication network in the CMSS group, meaning they were inclined to use the CMSS group for developing interpersonal relationships.

  18. Exploring Social Meaning in Online Bilingual Text through Social Network Analysis

    Science.gov (United States)

    2015-09-01

    Text through Social Network Analysis by Elizabeth K Bowman, Heather Roy, Sue Kase, and Michelle Vanni Computational and Information Sciences...September 2014 4. TITLE AND SUBTITLE Exploring Social Meaning in Online Bilingual Text through Social Network Analysis 5a. CONTRACT NUMBER 5b...Networks 27 5. Automated Text Analytics for Social Network and Sociolinguistic Analysis 29 5.1 GATE 29 5.2 Contour 32 5.2.1 Contour Activity

  19. Locating privileged spreaders on an online social network

    Science.gov (United States)

    Borge-Holthoefer, Javier; Rivero, Alejandro; Moreno, Yamir

    2012-06-01

    Social media have provided plentiful evidence of their capacity for information diffusion. Fads and rumors but also social unrest and riots travel fast and affect large fractions of the population participating in online social networks (OSNs). This has spurred much research regarding the mechanisms that underlie social contagion, and also who (if any) can unleash system-wide information dissemination. Access to real data, both regarding topology—the network of friendships—and dynamics—the actual way in which OSNs users interact, is crucial to decipher how the former facilitates the latter's success, understood as efficiency in information spreading. With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. This is done considering the evolution of an episode of political protest which took place in Spain, spanning one month in 2011.

  20. Economic networks and social communities in online-auction sites

    CERN Document Server

    Reichardt, J; Reichardt, Joerg; Bornholdt, Stefan

    2005-01-01

    Markets of individual traders exchanging goods can be seen as social and economic networks. Given the abundance of these networks and their economic importance, it is surprising how little detail is known about the structure and the evolution of such networks. We here study the transactions of almost 1.9 million users of an online auction site during the Pre-Christmas season of 2004. We analyze the topology of the resulting network and find fat tailed distributions for a number of fundamental network parameters. The network shows a high modularity and we are able to group traders according to their primary buying interest during the time observed, solely based on the network structure. The results help our understanding of the self-organization of markets and society.

  1. Viral Altruism? Charitable Giving and Social Contagion in Online Networks

    Directory of Open Access Journals (Sweden)

    Nicola Lacetera

    2016-03-01

    Full Text Available How do social media affect the success of charitable campaigns? We show that, despite the promise of online platforms to generate social network effects in generosity through social contagion or peer effects, these platforms may instead stimulate costless (and less impactful forms of involvement. Online social contagion might thus be limited when it comes to contributing real money to charities. This study relies on both individual-level longitudinal data and experimental evidence from a social media application that facilitates donations while broadcasting donors’ activities to their contacts. We find that broadcasting is positively associated with donations, although some individuals appear to opportunistically broadcast a pledge and then delete it. Furthermore, broadcasting a pledge is associated with more pledges by a user’s contacts, suggesting the presence of network effects or social contagion. However, results from a field experiment where broadcasting of the initial pledges was randomized suggest that the observational findings were likely due to homophily rather than genuine contagion effects. The experiment also shows that, although the campaigns reached approximately 6.4 million users and generated considerable attention in the form of clicks and “likes,” only 30 donations were made. Finally, an online survey experiment indicates that both the presence of an intermediary and a fee contributed to the low donation rate.

  2. Recommendations for Using Online Social Networking Technologies to Reduce Inaccurate Online Health Information.

    Science.gov (United States)

    Young, Sean D

    2011-07-30

    This short report highlights the increasing use of the Internet and online social networking technologies for health information and health decision making, and the consequences of seeking information from sites with biased or inaccurate health information. As the number of disreputable health information sites continues to grow rapidly, this paper provides practical advice for health providers on how they can help prevent health information consumers from seeking inaccurate information online. Reflecting on the utility of online social networking technologies for reaching large audiences, we recommend that health providers use online social networking technologies to communicate with patients and consumers of health information and direct them to reputable sources with accurate health information. We outline the steps to this approach.

  3. Designing for Learning: Online Social Networks as a Classroom Environment

    Directory of Open Access Journals (Sweden)

    Gail Casey

    2011-11-01

    Full Text Available This paper deploys notions of emergence, connections, and designs for learning to conceptualize high school students’ interactions when using online social media as a learning environment. It makes links to chaos and complexity theories and to fractal patterns as it reports on a part of the first author’s action research study, conducted while she was a teacher working in an Australian public high school and completing her PhD. The study investigates the use of a Ning online social network as a learning environment shared by seven classes, and it examines students’ reactions and online activity while using a range of social media and Web 2.0 tools.The authors use Graham Nuthall’s (2007 “lens on learning” to explore the social processes and culture of this shared online classroom. The paper uses his extensive body of research and analyses of classroom learning processes to conceptualize and analyze data throughout the action research cycle. It discusses the pedagogical implications that arise from the use of social media and, in so doing, challenges traditional models of teaching and learning.

  4. SPECIFICITY OF COMMUNICATION DOCTOR – PATIENT, ONLINE, THROUGH SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Florin-Alexandru LUCA

    2014-12-01

    Full Text Available A survey in 2013 of Division Market Research Group Rentrop Straton Romanian-German - "state services and private clinics. Comparative Analysis ", highlights the fact that into urban population in Romania, the internet is the most popular source of information on health services. According to the survey, 81.9% of respondents use the Internet to find out about the best doctors available to them. Preferences of respondents to the online environment as the main source of information translates into ease of access and the possibility of interaction, but also trust recommendations based on personal experiences, recommendations can be found through discussion forums, mostly or comments left on pages on social networking sites. In the present study we try to emphasize the specificity of communication physician - patient online through social networks.

  5. An information search model for online social Networks - MOBIRSE

    Directory of Open Access Journals (Sweden)

    J. A. Astaiza

    2015-12-01

    Full Text Available Online Social Networks (OSNs have been gaining great importance among Internet users in recent years. These are sites where it is possible to meet people, publish, and share content in a way that is both easy and free of charge. As a result, the volume of information contained in these websites has grown exponentially, and web search has consequently become an important tool for users to easily find information relevant to their social networking objectives. Making use of ontologies and user profiles can make these searches more effective. This article presents a model for Information Retrieval in OSNs (MOBIRSE based on user profile and ontologies which aims to improve the relevance of retrieved information on these websites. The social network Facebook was chosen for a case study and as the instance for the proposed model. The model was validated using measures such as At-k Precision and Kappa statistics, to assess its efficiency.

  6. Online social networking and the experience of cyber-bullying.

    Science.gov (United States)

    O'Dea, Bridianne; Campbell, Andrew

    2012-01-01

    Online social networking sites (SNS) are popular social tools used amongst adolescents and account for much of their daily internet activity. Recently, these sites have presented opportunities for youth to experience cyber-bullying. Often resulting in psychological distress, cyber-bullying is a common experience for many young people. Continual use of SNS signifies the importance of examining its links to cyber-bullying. This study examined the relationship between online social networking and the experience of cyber-bullying. A total of 400 participants (Mage=14.31 years) completed an online survey which examined the perceived definitions and frequency of cyber-bullying. Users of SNS reported significantly higher frequencies of stranger contact compared to non-users. Spearman's rho correlations determined no significant relationship between daily time on SNS and the frequency of stranger contact. This suggests that ownership of a SNS profile may be a stronger predictor of some cyber-bullying experiences compared to time spent on these sites. Findings encourage continued research on the nature of internet activities used by young adolescents and the possible exposure to online victimization.

  7. The Social Name-Letter Effect on Online Social Networks

    OpenAIRE

    Kooti, Farshad; Magno, Gabriel; Weber, Ingmar

    2014-01-01

    The Name-Letter Effect states that people have a preference for brands, places, and even jobs that start with the same letter as their own first name. So Sam might like Snickers and live in Seattle. We use social network data from Twitter and Google+ to replicate this effect in a new environment. We find limited to no support for the Name-Letter Effect on social networks. We do, however, find a very robust Same-Name Effect where, say, Michaels would be more likely to link to other Michaels th...

  8. The intersection of online social networking with medical professionalism.

    Science.gov (United States)

    Thompson, Lindsay A; Dawson, Kara; Ferdig, Richard; Black, Erik W; Boyer, J; Coutts, Jade; Black, Nicole Paradise

    2008-07-01

    To measure the frequency and content of online social networking among medical students and residents. Using the online network Facebook, we evaluated online profiles of all medical students (n = 501) and residents (n = 312) at the University of Florida, Gainesville. Objective measures included the existence of a profile, whether it was made private, and any personally identifiable information. Subjective outcomes included photographic content, affiliated social groups, and personal information not generally disclosed in a doctor-patient encounter. Social networking with Facebook is common among medical trainees, with 44.5% having an account. Medical students used it frequently (64.3%) and residents less frequently (12.8%, p personally identifiable information, only a third (37.5%) were made private, and some accounts displayed potentially unprofessional material. There was a significant decline in utilization of Facebook as trainees approached medical or residency graduation (first year as referent, years 3 and 4, p profile. With a significant proportion having subjectively inappropriate content, ACGME competencies in professionalism must include instruction on the intersection of personal and professional identities.

  9. A Comparison of Online Social Networks and Real-Life Social Networks: A Study of Sina Microblogging

    Directory of Open Access Journals (Sweden)

    Dayong Zhang

    2014-01-01

    Full Text Available Online social networks appear to enrich our social life, which raises the question whether they remove cognitive constraints on human communication and improve human social capabilities. In this paper, we analyze the users' following and followed relationships based on the data of Sina Microblogging and reveal several structural properties of Sina Microblogging. Compared with real-life social networks, our results confirm some similar features. However, Sina Microblogging also shows its own specialties, such as hierarchical structure and degree disassortativity, which all mark a deviation from real-life social networks. The low cost of the online network forms a broader perspective, and the one-way link relationships make it easy to spread information, but the online social network does not make too much difference in the creation of strong interpersonal relationships. Finally, we describe the mechanisms for the formation of these characteristics and discuss the implications of these structural properties for the real-life social networks.

  10. Discovering Hidden Networks in On-line Social Networks

    Directory of Open Access Journals (Sweden)

    Pooja Wadhwa

    2014-04-01

    Full Text Available Rapid developments in information technology and Web 2.0 have provided a platform for the evolution of terrorist organizations, extremists from a traditional pyramidal structure to a technology enabled networked structure. Growing presence of these subversive groups on social networking sites has emerged as one of the prominent threats to the society, governments and law enforcement agencies across the world. Identifying messages relevant to the domain of security can serve as a stepping stone in criminal network analysis. In this paper, we deploy a rule based approach for classifying messages in Twitter which can also successfully reveal overlapping clusters. The approach incorporates dictionaries of enriched themes where each theme is categorized by semantically related words. The message is vectorized according to the security dictionaries and is termed as ‘Security Vector’. The documents are classified in categories on the basis of security associations. Further, the approach can also be used along the temporal dimension for classifying messages into topics and rank the most prominent topics of conversation at a particular instance of time. We further employ social network analysis techniques to visualize the hidden network at a particular time. Some of the results of our approach obtained through experiment with information network of Twitter are also discussed.

  11. Towards a deep understanding of malware propagation in online social networks

    Energy Technology Data Exchange (ETDEWEB)

    Yan, Guanhua [Los Alamos National Laboratory; Eidenbenz, Stephan [Los Alamos National Laboratory; Chen, Guanling [U OF MASSACHUSETTS LOWELL; Li, Nan [U OF MASSACHUSETTS LOWELL

    2009-01-01

    Online social networks, which have been expanding at a blistering speed in the recent years, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically targets these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks. Our study is based on a dataset collected from a real-world location-based online social network. We analyze the social structure and user activity patterns of this network. We further use extensive trace-driven simulation to study the impact of initial infection, user click probability, social structure, and activity patterns on malware propagation in online social networks. The results from this work has greatly deepened our understanding of the nature of online social network malware and also shed light on how to defend against them effectively.

  12. Towards a deep understanding of malware propagation in online social networks

    Energy Technology Data Exchange (ETDEWEB)

    Yan, Guanhua [Los Alamos National Laboratory; Eidenbenz, Stephan [Los Alamos National Laboratory; Chen, Guanling [U OF MASSACHUSETTS LOWELL; Li, Nan [U OF MASSACHUSETTS LOWELL

    2009-01-01

    Online social networks, which have been expanding at a blistering speed in the recent years, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically targets these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks. Our study is based on a dataset collected from a real-world location-based online social network. We analyze the social structure and user activity patterns of this network. We further use extensive trace-driven simulation to study the impact of initial infection, user click probability, social structure, and activity patterns on malware propagation in online social networks. The results from this work has greatly deepened our understanding of the nature of online social network malware and also shed light on how to defend against them effectively.

  13. Effect of online social networking on employee productivity

    Directory of Open Access Journals (Sweden)

    A. Ferreira

    2009-02-01

    Full Text Available The popularity of social networking sites is relatively recent and the effect of online social networking (OSN on employee productivity has not received much scholarly attention. The reason most likely lies in the social nature of social networking sites and OSN, which is assumed to have a negative effect on employee productivity and not bear organisational benefit. This reseach investigated recent Internet developments as seen in the social Web and specifically investigated the effect of OSN on employee productivity and what some of the consequences would be if employees were allowed unrestricted access to these networks. The findings concerning the nature of employees' OSN activities, employees' attitude or perceptions with regard to OSN in the workplace and how OSN can contribute or affect the productivity of employees are discussed in this article. Some of the basic misconceptions regarding OSN are highlighted and it is concluded that this technology can be used to increase collaboration between individuals who share a common interest or goal. Increased collaboration will stimulate knowledge sharing between individuals, with the possible effect of increased productivity. However, the risks associated with OSN should be noted, such as loss of privacy, bandwidth and storage consumption, exposure to malware and lower employee productivity.

  14. Effective seeding strategy in evolutionary prisoner's dilemma games on online social networks

    Science.gov (United States)

    Xu, Bo; Shi, Huibin; Wang, Jianwei; Huang, Yun

    2015-04-01

    This paper explores effective seeding strategies in prisoner's dilemma game (PDG) on online social networks, i.e. the optimal strategy to obtain global cooperation with minimum cost. Three distinct seeding strategies are compared by performing computer simulations on real online social network datasets. Our finding suggests that degree centrality seeding outperforms other strategies regardless of the initial payoff setting or network size. Celebrities of online social networks play key roles in preserving cooperation.

  15. The social sharing of emotion (SSE) in online social networks: a case study in Live Journal

    NARCIS (Netherlands)

    C.T. Rodriguez Hidalgo; E.S.H. Tan; P.W.J. Verlegh

    2015-01-01

    Social Sharing of Emotion (SSE) occurs when one person shares an emotional experience with another and is considered potentially beneficial. Though social sharing has been shown prevalent in interpersonal communication, research on its occurrence and communication structure in online social networks

  16. A Decentralized Architecture for Enforcing Privacy in Online Social Networks

    CERN Document Server

    Jahid, Sonia; Mittal, Prateek; Borisov, Nikita; Kapadia, Apu

    2011-01-01

    A multitude of privacy breaches, both accidental and malicious, have prompted users to distrust centralized providers of online social networks (OSNs) and investigate decentralized solutions. We examine the design of a fully decentralized (peer-to-peer) OSN, with a special focus on privacy and security. In particular, we wish to protect the confidentiality, integrity, and availability of user content and the privacy of user relationships. We propose DECENT, an architecture for OSNs that uses a distributed hash table to store user data, and features cryptographic protections for confidentiality and integrity, as well as support for flexible attribute policies and fast revocation. DECENT ensures that neither data nor social relationships are visible to unauthorized users and provides availability through replication and authentication of updates. We evaluate DECENT through simulation and experiments on the PlanetLab network and show that DECENT is able to replicate the main functionality of current centralized ...

  17. Characteristics of Social Network Gamers: in between Social Networking and Online Role-Playing Games

    Directory of Open Access Journals (Sweden)

    Olga eGeisel

    2015-07-01

    Full Text Available Current research on internet addiction (IA reported moderate to high prevalence rates of IA and comorbid psychiatric symptoms in users of social networking sites (SNS and online role-playing games. The aim of this study was to characterise adult users of an internet multiplayer strategy game within a SNS. Therefore, we conducted an exploratory study using an online survey to assess sociodemographic variables, psychopathology and the rate of IA in a sample of adult social network gamers by Young´s Internet Addiction Test (IAT, the Toronto Alexithymia Scale (TAS, the Beck Depression Inventory II (BDI-II, the Symptom Checklist-90-R (SCL-90-R and the WHO Quality of Life-BREF (WHOQOL-BREF. All participants were listed gamers of combat zone in the SNS Facebook. In the IAT analysis, 16.2 % of the participants (n = 60 were categorized as subjects with IA and 19.5 % (n = 72 fulfilled the criteria for alexithymia. Comparing study participants with and without IA, the IA group had significantly more subjects with alexithymia, reported more depressive symptoms, and showed poorer quality of life. These findings suggest that social network gaming might also be associated with maladaptive patterns of internet use. Furthermore, a relationship between IA, alexithymia and depressive symptoms was found that needs to be elucidated by future studies.

  18. Semantic network analysis of vaccine sentiment in online social media.

    Science.gov (United States)

    Kang, Gloria J; Ewing-Nelson, Sinclair R; Mackey, Lauren; Schlitt, James T; Marathe, Achla; Abbas, Kaja M; Swarup, Samarth

    2017-06-22

    To examine current vaccine sentiment on social media by constructing and analyzing semantic networks of vaccine information from highly shared websites of Twitter users in the United States; and to assist public health communication of vaccines. Vaccine hesitancy continues to contribute to suboptimal vaccination coverage in the United States, posing significant risk of disease outbreaks, yet remains poorly understood. We constructed semantic networks of vaccine information from internet articles shared by Twitter users in the United States. We analyzed resulting network topology, compared semantic differences, and identified the most salient concepts within networks expressing positive, negative, and neutral vaccine sentiment. The semantic network of positive vaccine sentiment demonstrated greater cohesiveness in discourse compared to the larger, less-connected network of negative vaccine sentiment. The positive sentiment network centered around parents and focused on communicating health risks and benefits, highlighting medical concepts such as measles, autism, HPV vaccine, vaccine-autism link, meningococcal disease, and MMR vaccine. In contrast, the negative network centered around children and focused on organizational bodies such as CDC, vaccine industry, doctors, mainstream media, pharmaceutical companies, and United States. The prevalence of negative vaccine sentiment was demonstrated through diverse messaging, framed around skepticism and distrust of government organizations that communicate scientific evidence supporting positive vaccine benefits. Semantic network analysis of vaccine sentiment in online social media can enhance understanding of the scope and variability of current attitudes and beliefs toward vaccines. Our study synthesizes quantitative and qualitative evidence from an interdisciplinary approach to better understand complex drivers of vaccine hesitancy for public health communication, to improve vaccine confidence and vaccination coverage

  19. Do online social media cut through the constraints that limit the size of offline social networks?

    Science.gov (United States)

    Dunbar, R I M

    2016-01-01

    The social brain hypothesis has suggested that natural social network sizes may have a characteristic size in humans. This is determined in part by cognitive constraints and in part by the time costs of servicing relationships. Online social networking offers the potential to break through the glass ceiling imposed by at least the second of these, potentially enabling us to maintain much larger social networks. This is tested using two separate UK surveys, each randomly stratified by age, gender and regional population size. The data show that the size and range of online egocentric social networks, indexed as the number of Facebook friends, is similar to that of offline face-to-face networks. For one sample, respondents also specified the number of individuals in the inner layers of their network (formally identified as support clique and sympathy group), and these were also similar in size to those observed in offline networks. This suggests that, as originally proposed by the social brain hypothesis, there is a cognitive constraint on the size of social networks that even the communication advantages of online media are unable to overcome. In practical terms, it may reflect the fact that real (as opposed to casual) relationships require at least occasional face-to-face interaction to maintain them.

  20. SOCIAL RELATION NETWORKS IN UT-ONLINE COMMUNITY FORUM

    Directory of Open Access Journals (Sweden)

    Mohammad Imam FARISI

    2012-01-01

    Full Text Available So far, the existence of a virtual community forum has become a reality and social necessity in an era cybertech. It was also viewed as the electronic frontier of 21st century society that was undoubtedly for reorganizing and redefining to awareness of human being, that ways of their perceptions and explorations no longer limited by time, space, and geographic. Since the early decades of the 1990s, the existence of virtual community forum has attracted much attention and interest to the researchers, because it has significance as a social and cultural capital, and as a socio-technological solution for creating a learning community building forces. The UT-Online community forum is a virtual community forum that was built by (Universitas Terbuka UT in year 2006 to facilitate students to share and discuss various information, ideas, experiences in relation with academic or/and non-academic. This study examines and explains the contents of relation, social ties and structures of social relation networks in UT-Online Community Forum. The results of the study are important to the distance education institutions for building sense of community to DE students.

  1. Entrepreneur online social networks: structure, diversity and impact on start-up survival

    NARCIS (Netherlands)

    Song, Y.; Vinig, T.

    2012-01-01

    In this paper, we discuss the results of a pilot study in which we use a novel approach to collect entrepreneur online social network data from LinkedIn, Facebook and Twitter. We studied the size and structure of entrepreneur social networks by analysing the online network industry and location dive

  2. Entrepreneur online social networks: structure, diversity and impact on start-up survival

    NARCIS (Netherlands)

    Song, Y.; Vinig, T.

    2012-01-01

    In this paper, we discuss the results of a pilot study in which we use a novel approach to collect entrepreneur online social network data from LinkedIn, Facebook and Twitter. We studied the size and structure of entrepreneur social networks by analysing the online network industry and location

  3. Getting acquainted through social networking sites: testing a model of online uncertainty reduction and social attraction

    NARCIS (Netherlands)

    Antheunis, M.L.; Valkenburg, P.M.; Peter, J.

    2010-01-01

    The first aim of this study was to examine which uncertainty reduction strategies members of social network sites used to gain information about a person who they had recently met online. The second aim was to investigate whether and how these uncertainty reduction strategies resulted in social attr

  4. Getting acquainted through social networking sites: Testing a model of online uncertainty reduction and social attraction

    NARCIS (Netherlands)

    Antheunis, M.L.; Valkenburg, P.M.; Peter, J.

    2008-01-01

    The first aim of this study was to examine which uncertainty reduction strategies members of social networking sites used to gain information about a person who they had recently met online. The second aim was to investigate whether and how these uncertainty reduction strategies resulted in social a

  5. Social Capital, Self-Esteem, and Use of Online Social Network Sites: A Longitudinal Analysis

    Science.gov (United States)

    Steinfield, Charles; Ellison, Nicole B.; Lampe, Cliff

    2008-01-01

    A longitudinal analysis of panel data from users of a popular online social network site, Facebook, investigated the relationship between intensity of Facebook use, measures of psychological well-being, and bridging social capital. Two surveys conducted a year apart at a large U.S. university, complemented with in-depth interviews with 18 Facebook…

  6. Social Capital, Self-Esteem, and Use of Online Social Network Sites: A Longitudinal Analysis

    Science.gov (United States)

    Steinfield, Charles; Ellison, Nicole B.; Lampe, Cliff

    2008-01-01

    A longitudinal analysis of panel data from users of a popular online social network site, Facebook, investigated the relationship between intensity of Facebook use, measures of psychological well-being, and bridging social capital. Two surveys conducted a year apart at a large U.S. university, complemented with in-depth interviews with 18 Facebook…

  7. Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory.

    Science.gov (United States)

    Yoon, Hong-Jun; Tourassi, Georgia

    2014-05-01

    Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples' behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of "leaders" on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of "followers", people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

  8. Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Hong-Jun [ORNL; Tourassi, Georgia [ORNL

    2014-01-01

    Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of leaders on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of followers , people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.

  9. Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory

    Science.gov (United States)

    Yoon, Hong-Jun; Tourassi, Georgia

    2015-01-01

    Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples’ behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of “leaders” on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of “followers”, people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns. PMID:25973446

  10. Composition and structure of a large online social network in The Netherlands.

    Directory of Open Access Journals (Sweden)

    Rense Corten

    Full Text Available Limitations in data collection have long been an obstacle in research on friendship networks. Most earlier studies use either a sample of ego-networks, or complete network data on a relatively small group (e.g., a single organization. The rise of online social networking services such as Friendster and Facebook, however, provides researchers with opportunities to study friendship networks on a much larger scale. This study uses complete network data from Hyves, a popular online social networking service in The Netherlands, comprising over eight million members and over 400 million online friendship relations. In the first study of its kind for The Netherlands, I examine the structure of this network in terms of the degree distribution, characteristic path length, clustering, and degree assortativity. Results indicate that this network shares features of other large complex networks, but also deviates in other respects. In addition, a comparison with other online social networks shows that these networks show remarkable similarities.

  11. A Theoretical Model for Understanding the Dynamics of Online Social Networks Decay

    CERN Document Server

    Abufouda, Mohammed

    2016-01-01

    Online social networks represent a main source of communication and information exchange in today's life. They facilitate exquisitely news sharing, knowledge elicitation, and forming groups of same interests. Researchers in the last two decades studied the growth dynamics of the online social networks extensively questing a clear understanding of the behavior of humans in online social networks that helps in many directions, like engineering better recommendation systems and attracting new members. However, not all of social networks achieved the desired growth, for example, online social networks like MySpace, Orkut, and Friendster are out of service today. In this work, we present a probabilistic theoretical model that captures the dynamics of the social decay due to the inactivity of the members of a social network. The model is proved to have some interesting mathematical properties, namely \\textit{submodularity}, which imply achieving the model optimization in a reasonable performance. That means the max...

  12. Understanding Formulation of Social Capital in Online Social Network Sites (SNS)

    CERN Document Server

    Phulari, S S; Deshmukh, N K; Bhalchandra, P U; Lokhande, S N; Shinde, A R

    2010-01-01

    Online communities are the gatherings of like-minded people, brought together in cyberspace by shared interests. The shared interest has hidden social capital aspects and can be of bridging or bonding type. Creating such communities is not a big challenge but sustaining member's participation is. This study examines the formation and maintenance of social capital in social network sites. In addition to assessing bonding and bridging social capital, we explore a dimension of social capital that assesses one's ability to stay connected with members of a previously inhabited community, which we call maintained social capital. Such dimension is enacted here in terms of Hypothesis.

  13. Modeling peer and external influence in online social networks

    CERN Document Server

    Piškorec, Matija; Miholić, Iva; Šmuc, Tomislav; Šikić, Mile

    2016-01-01

    Opinion polls mediated through a social network can give us, in addition to usual demographics data like age, gender and geographic location, a friendship structure between voters and the temporal dynamics of their activity during the voting process. Using a Facebook application we collected friendship relationships, demographics and votes of over ten thousand users on the referendum on the definition of marriage in Croatia held on 1st of December 2013. We also collected data on online news articles mentioning our application. Publication of these articles align closely with large peaks of voting activity, indicating that these external events have a crucial influence in engaging the voters. Also, existence of strongly connected friendship communities where majority of users vote during short time period, and the fact that majority of users in general tend to friend users that voted the same suggest that peer influence also has its role in engaging the voters. As we are not able to track activity of our users...

  14. A Social Network Analysis Comparison of an Experienced and a Novice Instructor in Online Teaching

    Science.gov (United States)

    Fidalgo, Patricia; Thormann, Joan

    2012-01-01

    The most productive learning experience for students whether online or in face-to-face classes can often be the interaction among students and with an instructor. Online teaching and Social Network Analysis (SNA) offer the opportunity to examine intellectual social networking and strategies that promotes student interaction which can enhance…

  15. Comparing social factors affecting recommender decisions in online and educational social network

    Science.gov (United States)

    MartÍn, Estefanía; Hernán-Losada, Isidoro; Haya, Pablo A.

    2016-01-01

    In the educational context, there is an increasing interest in learning networks. Recommender systems (RSs) can play an important role in achieving educational objectives. Although we can find many papers focused on recommendation techniques and algorithms, in general, less attention has been dedicated to social factors that influence the recommendation process. This process could be improved if we had a deeper understanding of the social factors that influence the quality or validity of a suggestion made by the RS. This work elucidates and analyses the social factors that influence the design and decision-making process of RSs. We conducted a survey in which 126 undergraduate students were asked to extract which are the main factors for improving suggestions when they are interacting with an Online Social Network (OSN) or in an Educational Social Network (ESN). The results show that different factors have to be considered depending on the type of network.

  16. Social and place-focused communities in location-based online social networks

    CERN Document Server

    Brown, Chloë; Scellato, Salvatore; Noulas, Anastasios; Mascolo, Cecilia

    2013-01-01

    Thanks to widely available, cheap Internet access and the ubiquity of smartphones, millions of people around the world now use online location-based social networking services. Understanding the structural properties of these systems and their dependence upon users' habits and mobility has many potential applications, including resource recommendation and link prediction. Here, we construct and characterise social and place-focused graphs by using longitudinal information about declared social relationships and about users' visits to physical places collected from a popular online location-based social service. We show that although the social and place-focused graphs are constructed from the same data set, they have quite different structural properties. We find that the social and location-focused graphs have different global and meso-scale structure, and in particular that social and place-focused communities have negligible overlap. Consequently, group inference based on community detection performed on t...

  17. A Novel, Privacy Preserving, Architecture for Online Social Networks

    Directory of Open Access Journals (Sweden)

    Zhe Wang

    2015-12-01

    Full Text Available The centralized nature of conventional OSNs poses serious risks to the privacy and security of information exchanged between their members. These risks prompted several attempts to create decentralized OSNs, or DOSNs. The basic idea underlying these attempts, is that each member of a social network keeps its data under its own control, instead of surrendering it to a central host, providing access to it to other members according to its own access-control policy. Unfortunately all existing versions of DOSNs have a very serious limitation. Namely, they are unable to subject the membership of a DOSN, and the interaction between its members, to any global policy—which is essential for many social communities. Moreover, the DOSN architecture is unable to support useful capabilities such as narrowcasting and profile based search. This paper describes a novel architecture of decentralized OSNs—called DOSC, for “online social community”. DOSC adopts the decentralization idea underlying DOSNs, but it is able to subject the membership of a DOSC-community, and the interaction between its members, to a wide range of policies, including privacy-preserving narrowcasting and profile-sensitive search.

  18. Keeping up with the e-Joneses: Do online social networks raise social comparisons?

    CERN Document Server

    Sabatini, Fabio

    2015-01-01

    Online social networks such as Facebook disclose an unprecedented volume of personal information amplifying the occasions for social comparisons. We test the hypothesis that the use of social networking sites (SNS) increases people's dissatisfaction with their income. After addressing endogeneity issues, our results suggest that SNS users have a higher probability to compare their achievements with those of others. This effect seems stronger than the one exerted by TV watching, it is particularly strong for younger people, and it affects men and women in a similar way.

  19. EXPLORING THE RELATIONSHIPS AMONG SOCIAL BENEFITS, ONLINE SOCIAL NETWORK DEPENDENCY, SATISFACTION, AND YOUTH’S HABIT FORMATION

    Directory of Open Access Journals (Sweden)

    Tran Van Dat

    2015-12-01

    Full Text Available Online social network is one of the biggest Internet phenomenon, which has attracted the interest of many marketers and psychologists who wanted to understand social network users’ behavior. Recognizing the lack of theoretical and empirical attention that has been given to this field, especially in Vietnam market, this study was conducted to examine the relationships among social benefits, online social network dependency, satisfaction, and youth’s habit formation in the context of Facebook. The findings of the study of 200 Facebook users indicated that the interrelationship among four factors of social benefits, online social network dependency, satisfaction, and habit formation affect each other. Indeed, dependency on online social network among the youth whose age ranged from 16 to 24 years old is significantly affected by social benefits factor and leads to the formation of habit. In addition, satisfaction plays a role in determining habitual Facebook use. This paper discusses theoretical and practical implication in marketing and psychology field.

  20. From sparse to dense and from assortative to disassortative in online social networks

    CERN Document Server

    Li, Menghui; Gong, Xiaofeng; Li, Kun; Wu, Jinshan; Di, Zengru; Lai, Choy-Heng

    2013-01-01

    In this paper, inspired by the analysis on several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states influenced by local dynamics and their own intension. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks, particularly, that the assortative coefficients are neural or negative and the power law exponents are smaller than 2. Moreover, we demonstrate that, under feasible conditions, the modeling networks naturally convert from assortative to disassortative, and from sparse to dense. Our model is helpful for understanding the formation and evolution of online social networks.

  1. Crawling and Detecting Community Structure in Online Social Networks using Local Information

    NARCIS (Netherlands)

    Blenn, N.; Doerr, C.; Van Kester, B.; Van Mieghem, P.

    As Online Social Networks (OSNs) become an intensive sub- ject of research for example in computer science, networking, social sci- ences etc., a growing need for valid and useful datasets is present. The time taken to crawl the network is however introducing a bias which should be minimized. Usual

  2. Towards a Social Networks Model for Online Learning & Performance

    Science.gov (United States)

    Chung, Kon Shing Kenneth; Paredes, Walter Christian

    2015-01-01

    In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…

  3. Towards a Social Networks Model for Online Learning & Performance

    Science.gov (United States)

    Chung, Kon Shing Kenneth; Paredes, Walter Christian

    2015-01-01

    In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…

  4. Analysis of a Real Online Social Network Using Semantic Web Frameworks

    Science.gov (United States)

    Erétéo, Guillaume; Buffa, Michel; Gandon, Fabien; Corby, Olivier

    Social Network Analysis (SNA) provides graph algorithms to characterize the structure of social networks, strategic positions in these networks, specific sub-networks and decompositions of people and activities. Online social platforms like Facebook form huge social networks, enabling people to connect, interact and share their online activities across several social applications. We extended SNA operators using semantic web frameworks to include the semantics of these graph-based representations when analyzing such social networks and to deal with the diversity of their relations and interactions. We present here the results of this approach when it was used to analyze a real social network with 60,000 users connecting, interacting and sharing content.

  5. Professionalism in Student Online Social Networking: The Role of Educators

    Science.gov (United States)

    Chester, A.; Kienhuis, M.; Pisani, H.; Shahwan-Akl, L.; White, K.

    2013-01-01

    Social media now form a common part of university students' experience. Both at university and after graduation, in their personal and professional lives, social media offer opportunities for connection previously unavailable. The ubiquitous nature of social networking has brought with it professional and ethical issues that need to be…

  6. "Newbies" and "Celebrities": Detecting Social Roles in an Online Network of Teachers via Participation Patterns

    Science.gov (United States)

    Smith Risser, H.; Bottoms, SueAnn

    2014-01-01

    The advent of social networking tools allows teachers to create online networks and share information. While some virtual networks have a formal structure and defined boundaries, many do not. These unstructured virtual networks are difficult to study because they lack defined boundaries and a formal structure governing leadership roles and the…

  7. Popularity Evaluation Model for Microbloggers Online Social Network

    Directory of Open Access Journals (Sweden)

    Xia Zhang

    2014-01-01

    Full Text Available Recently, microblogging is widely studied by the researchers in the domain of the online social network (OSN. How to evaluate the popularities of microblogging users is an important research field, which can be applied to commercial advertising, user behavior analysis and information dissemination, and so forth. Previous studies on the evaluation methods cannot effectively solve and accurately evaluate the popularities of the microbloggers. In this paper, we proposed an electromagnetic field theory based model to analyze the popularities of microbloggers. The concept of the source in microblogging field is first put forward, which is based on the concept of source in the electromagnetic field; then, one’s microblogging flux is calculated according to his/her behaviors (send or receive feedbacks on the microblogging platform; finally, we used three methods to calculate one’s microblogging flux density, which can represent one’s popularity on the microblogging platform. In the experimental work, we evaluated our model using real microblogging data and selected the best one from the three popularity measure methods. We also compared our model with the classic PageRank algorithm; and the results show that our model is more effective and accurate to evaluate the popularities of the microbloggers.

  8. Word of Mouth Propagation in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Xiaoting Han

    2012-10-01

    Full Text Available Online social networks (OSNs are becoming an important propagation platform for Word of mouth (WOM. Therefore, it is of great significance to study the propagation of WOM in OSNs. A WOM propagation model named N-P-N is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of WOM propagation. From the sensitivity analysis of degree of initial information source node, it can be seen that the degree of initial information source node determines the scope and speed of the propagation of WOM in OSNs in some extent. Then the sensitivity analysis of number of initial information source nodes shows that the initial source nodes are crucial for controlling the propagation of negative information in OSNs. Moreover, from the user behavior respect, it is found that different user behavior in OSNs causes different propagation results, the more users who are willing to diffuse WOM, the more scope WOM can propagate and the faster the information diffuses. Findings in this paper are helpful for enterprises to form an effective WOM.

  9. The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies.

    Science.gov (United States)

    Baker, David A; Algorta, Guillermo Perez

    2016-11-01

    Online social networking sites (SNSs) such as Facebook, Twitter, and MySpace are used by billions of people every day to communicate and interact with others. There has been increasing interest in the potential impact of online social networking on wellbeing, with a broadening body of new research into factors associated with both positive and negative mental health outcomes such as depression. This systematic review of empirical studies (n = 30) adds to existing research in this field by examining current quantitative studies focused on the relationship between online social networking and symptoms of depression. The academic databases PsycINFO, Web of Science, CINAHL, MEDLINE, and EMBASE were searched systematically using terms related to online social networking and depression. Reporting quality was critically appraised and the findings discussed with reference to their wider implications. The findings suggest that the relationship between online social networking and symptoms of depression may be complex and associated with multiple psychological, social, behavioral, and individual factors. Furthermore, the impact of online social networking on wellbeing may be both positive and negative, highlighting the need for future research to determine the impact of candidate mediators and moderators underlying these heterogeneous outcomes across evolving networks.

  10. A Random-Walk Based Privacy-Preserving Access Control for Online Social Networks

    Directory of Open Access Journals (Sweden)

    You-sheng Zhou

    2016-02-01

    Full Text Available Online social networks are popularized with people to connect friends, share resources etc. Meanwhile, the online social networks always suffer the problem of privacy exposure. The existing methods to prevent exposure are to enforce access control provided by the social network providers or social network users. However, those enforcements are impractical since one of essential goal of social network application is to share updates freely and instantly. To better the security and availability in social network applications, a novel random walking based access control of social network is proposed in this paper. Unlike using explicit attribute based match in the existing schemes, the results from random walking are employed to securely compute L1 distance between two social network users in the presented scheme, which not only avoids the leakage of private attributes, but also enables each social network user to define access control policy independently. The experimental results show that the proposed scheme can facilitate the access control for online social network.

  11. Designing for Learning: Online Social Networks as a Classroom Environment

    Science.gov (United States)

    Casey, Gail; Evans, Terry

    2011-01-01

    This paper deploys notions of emergence, connections, and designs for learning to conceptualize high school students' interactions when using online social media as a learning environment. It makes links to chaos and complexity theories and to fractal patterns as it reports on a part of the first author's action research study, conducted while she…

  12. A context-sensitive trust model for online social networking

    CSIR Research Space (South Africa)

    Danny, MN

    2016-11-01

    Full Text Available In Social Networking Sites (SNSs), users tend to accept friend requests and share their personal information based on intuitive trust levels. Mistakenly trusting and sharing private information with malicious users may lead to a wide variety...

  13. Online Social Network Citizen Engagement on Instagram Crowdsourcing: A Conceptual Framework

    National Research Council Canada - National Science Library

    Izzal Asnira Zolkepli; Hedhir Hasno; Sharifah Nadiah Syed Mukhiar

    2015-01-01

      The emergence and popularity of online social network platform has greatly transformed the way businesses work in terms of collaborations, communications and crowdsourcing with the boom of Web 3.0 technology...

  14. Social comparison 2.0: examining the effects of online profiles on social-networking sites.

    Science.gov (United States)

    Haferkamp, Nina; Krämer, Nicole C

    2011-05-01

    Through their features--such as profile photographs or the personal vita--online profiles on social-networking sites offer a perfect basis for social comparison processes. By looking at the profile photograph, the user gains an impression of a person's physical attractiveness, and the user's vita shows which career path the person is pursuing. Against the background of Festinger's Social Comparison Theory, the focus of this research is on the effects of online profiles on their recipients. Therefore, qualitative interviews (N = 12) and two online experiments were conducted in which virtual online profiles of either physically attractive or unattractive persons (N = 93) and profiles of users with either high or low occupational attainment (N = 103) were presented to the participants. Although qualitative interviews did not initially give reason to expect online profiles to constitute a basis for comparison processes, results of the experiments proved otherwise. The first study indicates that recipients have a more negative body image after looking at beautiful users than persons who were shown the less attractive profile pictures. Male participants of the second study, who were confronted with profiles of successful males, showed a higher perceived discrepancy between their current career status and an ideal vita than male participants who looked at profiles of less successful persons.

  15. A sneak into the Devil's Colony - Fake Profiles in Online Social Networks

    OpenAIRE

    Wani, Mudasir Ahmad; Jabin, Suraiya

    2017-01-01

    Online Social Networks (OSNs) play an important role for internet users to carry out their daily activities like content sharing, news reading, posting messages, product reviews and discussing events etc. At the same time, various kinds of spammers are also equally attracted towards these OSNs. These cyber criminals including sexual predators, online fraudsters, advertising campaigners, catfishes, and social bots etc. exploit the network of trust by various means especially by creating fake p...

  16. Online Social Networks and Terrorism 2.0 in Developing Countries

    CERN Document Server

    Ishengoma, Fredrick Romanus

    2014-01-01

    The advancement in technology has brought a new era in terrorism where Online Social Networks have become a major platform of communication with wide range of usage from message channeling to propaganda and recruitment of new followers in terrorist groups. Meanwhile, during the terrorist attacks people use social networks for information exchange, mobilizing and uniting and raising money for the victims. This paper critically analyses the specific usage of social networks in the times of terrorism attacks in developing countries.

  17. Does Sentiment Among Users in Online Social Networks Polarize or Balance Out?

    DEFF Research Database (Denmark)

    Trier, Matthias; Hillmann, Robert

    2017-01-01

    Users express and share sentiments electronically when they communicate within online social network applications. One way to analyze such interdependent data is focusing on the inter-user relationships by applying a sociological perspective based on social network analysis. Existing studies...

  18. Prestige, Centrality, and Learning: A Social Network Analysis of an Online Class

    Science.gov (United States)

    Russo, Tracy C.; Koesten, Joy

    2005-01-01

    This study explored relations between social network characteristics in an online graduate class and two learning outcomes: affective and cognitive learning. The social network analysis data were compiled by entering the number of one-to-one postings sent by each student to each other student in a course web site discussion space into a specially…

  19. Social Network Analysis of an Online Melanoma Discussion Group

    Science.gov (United States)

    Durant, Kathleen T.; McCray, Alexa T.; Safran, Charles

    2010-01-01

    We have developed tools to explore social networks that share information in medical forums to better understand the unmet informational needs of patients and family members facing cancer treatments. We define metrics that demonstrate members discussing interleukin-2 receive a stronger response from the melanoma discussion group than a typical topic. The interleukin-2 network has a different topology than the melanoma network, has a higher density, and its members are more likely to have a higher intimacy level with another member and a lower inquisitiveness level than a typical melanoma user. Members are more likely to join the interleukin-2 network to answer a question than in the melanoma network (probability =.2 ±.05 p-value=.001). Within the melanoma network 20% of the questions posed to the community do not get an answer. In the interleukin-2 network, 1.3% of the questions (one question) do not get a response. PMID:21347134

  20. Social networking site (SNS) use by adolescent mothers: Can social support and social capital be enhanced by online social networks? - A structured review of the literature.

    Science.gov (United States)

    Nolan, Samantha; Hendricks, Joyce; Ferguson, Sally; Towell, Amanda

    2017-05-01

    to critically appraise the available literature and summarise the evidence relating to adolescent mothers' use of social networking sites in terms of any social support and social capital they may provide and to identify areas for future exploration. social networking sites have been demonstrated to provide social support to marginalised individuals and provide psycho-social benefits to members of such groups. Adolescent mothers are at risk of; social marginalisation; anxiety disorders and depressive symptoms; and poorer health and educational outcomes for their children. Social support has been shown to benefit adolescent mothers thus online mechanisms require consideration. a review of original research articles METHOD: key terms and Boolean operators identified research reports across a 20-year timeframe pertaining to the area of enquiry in: CINAHL, Cochrane Library, Medline, Scopus, ERIC, ProQuest, PsychINFO, Web of Science, Health Collection (Informit) and Google Scholar databases. Eight original research articles met the inclusion criteria for this review. studies demonstrate that adolescent mothers actively search for health information using the Internet and social networking sites, and that social support and social capital can be attributed to their use of specifically created online groups from within targeted health interventions. Use of a message board forum for pregnant and parenting adolescents also demonstrates elements of social support. There are no studies to date pertaining to adolescent mothers' use of globally accessible social networking sites in terms of social support provision and related outcomes. further investigation is warranted to explore the potential benefits of adolescent mothers' use of globally accessible social networking sites in terms of any social support provision and social capital they may provide. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Identity Verification Mechanism for Detecting Fake Profiles in Online Social Networks

    OpenAIRE

    Ali M. Meligy; Hani M. Ibrahim; Mohamed F. Torky

    2017-01-01

    Impersonating users' identity in Online Social Networks (OSNs) is one of the open dilemmas from security and privacy point of view. Scammers and adversaries seek to create set of fake profiles to carry out malicious behaviors and online social crimes in social media. Recognizing the identity of Fake Profiles is an urgent issue of concern to the attention of researchers. In this paper, we propose a detection technique called Fake Profile Recognizer (FPR) for verifying the identity of profiles,...

  2. Rumor spreading in online social networks by considering the bipolar social reinforcement

    Science.gov (United States)

    Ma, Jing; Li, Dandan; Tian, Zihao

    2016-04-01

    Considering the bipolar social reinforcement which includes positive and negative effects, in this paper we explore the rumor spreading dynamics in online social networks. By means of the generation function and cavity method developed from statistical physics of disordered system, the rumor spreading threshold can be theoretically drawn. Simulation results indicate that decreasing the positive reinforcement factor or increasing the negative reinforcement factor can suppress the rumor spreading effectively. By analyzing the topological properties of the real world social network, we find that the nodes with lower degree usually have smaller weight. However, the nodes with lower degree may have larger k-shell. In order to curb rumor spreading, some control strategies that are based on the nodes' degree, k-shell and weight are presented. By comparison, we show that controlling those nodes that have larger degree or weight are two effective strategies to prevent the rumor spreading.

  3. Gender differences in collaborative learning over online social networks: Epistemological beliefs and behaviors

    Directory of Open Access Journals (Sweden)

    Rosanna Y.-Y. Chan

    2013-09-01

    Full Text Available Online social networks are popular venues for computer-supported collaborative work and computer-supported collaborative learning. Professionals within the same discipline, such as software developers, often interact over various social network sites for knowledge updates and collective understandings. The current study aims at gathering empirical evidences concerning gender differences in online social network beliefs and behaviors. A total of 53 engineering postgraduate students were engaged in a blogging community for collaborative learning. Participants’ beliefs about collaboration and nature of knowledge and knowing (i.e. epistemological beliefs are investigated. More specifically, social network analysis metrics including in-degree, out-degree, closeness centrality, and betweenness centrality are obtained from an 8-interval longitudinal SNA. Methodologically speaking, the current work puts forward mixed methods of longitudinal SNA and quantitative beliefs survey to explore online social network participants’ beliefs and behaviors. The study’s findings demonstrate significant gender differences in collaborative learning through online social networks, including (1 female engineering postgraduate students engage significantly more actively in online communications, (2 male engineering postgraduate students are more likely to be the potential controllers of information flows, and (3 gender differences exist in belief gains related to social aspects, but not individual's epistemic aspects. Overall, participants in both genders demonstrated enhanced beliefs in collaboration as well as the nature of knowledge and knowing.

  4. The Online Social Networking of Cyberspace: A Study on the Development of an Online Social Network Project and the Sport Industry's Perception of Its Relative Advantage

    Science.gov (United States)

    Liptrap, Timothy John

    2011-01-01

    This exploratory case study examined online social networking (OSN), and the perceptions of Sport Marketing students and sport industry professional as to the relative advantage of the OSN tools in the marketplace. The conceptual framework for this study was based on Boyer's (1990) concepts of Scholarship of Teaching and Learning (SoTL), and the…

  5. Bridging Online and Offline Social Networks: Multiplex Analysis

    CERN Document Server

    Filiposka, Sonja; Dimitrova, Tamara; Kocarev, Ljupco

    2016-01-01

    We show that three basic actor characteristics, namely normalized reciprocity, three cycles, and triplets, can be expressed using an unified framework that is based on computing the similarity index between two sets associated with the actor: the set of her/his friends and the set of those considering her/him as a friend. These metrics are extended to multiplex networks and then computed for two friendship networks generated by collecting data from two groups of undergraduate students. We found that in offline communication strong and weak ties are (almost) equally presented, while in online communication weak ties are dominant. Moreover, weak ties are much less reciprocal than strong ties. However, across different layers of the multiplex network reciprocities are preserved, while triads (measured with normalized three cycles and triplets) are not significant.

  6. Bridging online and offline social networks: Multiplex analysis

    Science.gov (United States)

    Filiposka, Sonja; Gajduk, Andrej; Dimitrova, Tamara; Kocarev, Ljupco

    2017-04-01

    We show that three basic actor characteristics, namely normalized reciprocity, three cycles, and triplets, can be expressed using an unified framework that is based on computing the similarity index between two sets associated with the actor: the set of her/his friends and the set of those considering her/him as a friend. These metrics are extended to multiplex networks and then computed for two friendship networks generated by collecting data from two groups of undergraduate students. We found that in offline communication strong and weak ties are (almost) equally presented, while in online communication weak ties are dominant. Moreover, weak ties are much less reciprocal than strong ties. However, across different layers of the multiplex network reciprocities are preserved, while triads (measured with normalized three cycles and triplets) are not significant.

  7. Using Social Network Analysis to Understand Sense of Community in an Online Learning Environment

    Science.gov (United States)

    Shen, Demei; Nuankhieo, Piyanan; Huang, Xinxin; Amelung, Christopher; Laffey, James

    2008-01-01

    This study uses social network analysis (SNA) in an innovative way to describe interaction and explain how interaction influences sense of community of students in online learning environments. The findings reveal differences on sense of community between two similarly structured online courses, and show unique interaction patterns for students in…

  8. Interaction, Critical Thinking, and Social Network Analysis (SNA) in Online Courses

    Science.gov (United States)

    Thormann, Joan; Gable, Samuel; Fidalgo, Patricia Seferlis; Blakeslee, George

    2013-01-01

    This study tried to ascertain a possible relationship between the number of student moderators (1, 2, and 3), online interactions, and critical thinking of K-12 educators enrolled in an online course that was taught from a constructivist approach. The course topic was use of technology in special education. Social network analysis (SNA) and…

  9. Online Social Networks as Formal Learning Environments: Learner Experiences and Activities

    Science.gov (United States)

    Veletsianos, George; Navarrete, Cesar C.

    2012-01-01

    While the potential of social networking sites to contribute to educational endeavors is highlighted by researchers and practitioners alike, empirical evidence on the use of such sites for formal online learning is scant. To fill this gap in the literature, we present a case study of learners' perspectives and experiences in an online course…

  10. Online Social Networking, Sexual Risk and Protective Behaviors: Considerations for Clinicians and Researchers.

    Science.gov (United States)

    Holloway, Ian W; Dunlap, Shannon; Del Pino, Homero E; Hermanstyne, Keith; Pulsipher, Craig; Landovitz, Raphael J

    2014-09-01

    Online social networking refers to the use of internet-based technologies that facilitate connection and communication between users. These platforms may be accessed via computer or mobile device (e.g., tablet, smartphone); communication between users may include linking of profiles, posting of text, photo and video content, instant messaging and email. This review provides an overview of recent research on the relationship between online social networking and sexual risk and protective behaviors with a focus on use of social networking sites (SNS) among young people and populations at high risk for sexually transmitted infections (STIs). While findings are mixed, the widespread use of SNS for sexual communication and partner seeking presents opportunities for the delivery and evaluation of public health interventions. Results of SNS-based interventions to reduce sexual risk are synthesized in order to offer hands-on advice for clinicians and researchers interested in engaging patients and study participants via online social networking.

  11. Tweacher: New proposal for Online Social Networks Impact in Secondary Education

    Directory of Open Access Journals (Sweden)

    Sebastián ROMERO

    2013-05-01

    Full Text Available This paper presents and analyzes the potential uses and motivations of online social networks in education, with special emphasis on secondary education. First, we show several previous researches supporting the use of social networking as an educational tool and discuss Edmodo, an educative online social network. The work carried out during two academic years with senior students of primary and secondary schools is also analyzed. After that we present Tweacher an educative social network application and evaluate its use in the classroom to prove its useful use between teachers and students. This research has allowed us to see the reality of social network use among young people and identify the challenges of its application to education environment.

  12. Online Social Networks and Computer Skills of University Students

    Science.gov (United States)

    Barbas, Maria Potes; Valerio, Gabriel; Rodríguez-Martínez, María del Carmen; Herrera-Murillo, Dagoberto José; Belmonte-Jiménez, Ana María

    2014-01-01

    Currently a large number of college students belong to social networks and spend several hours a week on them. Some sectors of society, like parents and teachers, are concerned about the negative impact on their academic work and in their personal lives. However, because the potential positive impacts have not been explored enough, this research…

  13. Hashtags and Followers : An experimental study of the online social network Twitter

    OpenAIRE

    Martin, Eva Garcia

    2013-01-01

    Context. Social media marketing is constantly gaining interest as a powerful tool, for advertisement campaigns, in order to maximize their audience to reach potential new customers. To efficiently target customers, the knowledge of social network structure and user behavior is of crucial importance. Among these online social networks, Twitter’s popularity is rapidly increasing. Its key feature is to link different topics and posts by using the hashtag symbol. This particular characteristic is...

  14. Making "social" safer: are Facebook and other online networks becoming less hazardous for health professionals?

    Science.gov (United States)

    George, Daniel R

    2012-01-01

    Major concerns about privacy have limited health professionals' usage of popular social networking sites such as Facebook. However, the landscape of social media is changing in favor of more sophisticated privacy controls that enable users to more carefully manage public and private information. This evolution in technology makes it potentially less hazardous for health professionals to consider accepting colleagues and patients into their online networks, and invites medicine to think constructively about how social media may add value to contemporary healthcare.

  15. The Social Dynamics of Language Change in Online Networks

    CERN Document Server

    Goel, Rahul; Goyal, Naman; Paparrizos, John; Wallach, Hanna; Diaz, Fernando; Eisenstein, Jacob

    2016-01-01

    Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence. But, while language change has long been a topic of study in sociolinguistics, traditional linguistic research methods rely on circumstantial evidence, estimating the direction of change from differences between older and younger speakers. In this paper, we use a data set of several million Twitter users to track language changes in progress. First, we show that language change can be viewed as a form of social influence: we observe complex contagion for phonetic spellings and "netspeak" abbreviations (e.g., lol), but not for older dialect markers from spoken language. Next, we test whether specific types of social network connections are more influential than others, using a parametric Hawkes process model. We find that tie strength plays an important role: densely embedded social ties are significantly better conduits of linguistic influence. Geographic locality appears to play a more limited rol...

  16. From sparse to dense and from assortative to disassortative in online social networks

    Science.gov (United States)

    Li, Menghui; Guan, Shuguang; Wu, Chensheng; Gong, Xiaofeng; Li, Kun; Wu, Jinshan; di, Zengru; Lai, Choy-Heng

    2014-05-01

    Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks; in particular, the assortative coefficients are neutral or negative, and the power law exponents γ are smaller than 2. Moreover, we demonstrate that, under appropriate conditions, the model network naturally makes transition(s) from assortative to disassortative, and from sparse to dense in their characteristics. The model is useful in understanding the formation and evolution of online social networks.

  17. From sparse to dense and from assortative to disassortative in online social networks.

    Science.gov (United States)

    Li, Menghui; Guan, Shuguang; Wu, Chensheng; Gong, Xiaofeng; Li, Kun; Wu, Jinshan; Di, Zengru; Lai, Choy-Heng

    2014-01-01

    Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks; in particular, the assortative coefficients are neutral or negative, and the power law exponents γ are smaller than 2. Moreover, we demonstrate that, under appropriate conditions, the model network naturally makes transition(s) from assortative to disassortative, and from sparse to dense in their characteristics. The model is useful in understanding the formation and evolution of online social networks.

  18. Performance Characterization of Game Recommendation Algorithms on Online Social Network Sites

    Institute of Scientific and Technical Information of China (English)

    Philip Leroux; Bart Dhoedt; Piet Demeester; Filip De Turck

    2012-01-01

    Since years,online social networks have evolved from profile and communication websites to online portals where people interact with each other,share and consume multimedia-enriched data and play different types of games.Due to the immense popularity of these online games and their huge revenue potential,the number of these games increases every day,resulting in a current offering of thousands of online social games.In this paper,the applicability of neighborhood-based collaborative filtering (CF) algorithms for the recommendation of online social games is evaluated.This evaluation is based on a large dataset of an online social gaming platform containing game ratings (explicit data) and online gaming behavior (implicit data) of millions of active users.Several similarity metrics were implemented and evaluated on the explicit data,implicit data and a combination thereof.It is shown that the neighborhood-based CF algorithms greatly outperform the content-based algorithm,currently often used on online social gaming websites.The results also show that a combined approach,i.e.,taking into account both implicit and explicit data at the same time,yields overall good results on all evaluation metrics for all scenarios,while only slightly performing worse compared to the strengths of the explicit or implicit only approaches.The best performing algorithms have been implemented in a live setup of the online game platform.

  19. Recommendations for the design, implementation and evaluation of social support in online communities, networks, and groups.

    Science.gov (United States)

    Weiss, Jacob B; Berner, Eta S; Johnson, Kevin B; Giuse, Dario A; Murphy, Barbara A; Lorenzi, Nancy M

    2013-12-01

    A new model of health care is emerging in which individuals can take charge of their health by connecting to online communities and social networks for personalized support and collective knowledge. Web 2.0 technologies expand the traditional notion of online support groups into a broad and evolving range of informational, emotional, as well as community-based concepts of support. In order to apply these technologies to patient-centered care, it is necessary to incorporate more inclusive conceptual frameworks of social support and community-based research methodologies. This paper introduces a conceptualization of online social support, reviews current challenges in online support research, and outlines six recommendations for the design, evaluation, and implementation of social support in online communities, networks, and groups. The six recommendations are illustrated by CanConnect, an online community for cancer survivors in middle Tennessee. These recommendations address the interdependencies between online and real-world support and emphasize an inclusive framework of interpersonal and community-based support. The applications of these six recommendations are illustrated through a discussion of online support for cancer survivors.

  20. Weak Ties: A Subtle Role in the Information Diffusion of Online Social Networks

    CERN Document Server

    Zhao, Jichang; Xu, Ke

    2010-01-01

    As a social media, online social networks play a vital role in the social information diffusion. However, due to its unique complexity, the mechanism of the diffusion can be different from the ones in other types of networks and remains unclear to us. Meanwhile, few works have been done to reveal the coupled dynamics of both the structure and the diffusion of online social networks. To this end, in this paper, we propose a model to investigate how the structure is coupled with the diffusion in online social networks from the view of weak ties. Through numerical experiments on large-scale online social networks, we find that in contrast to some previous research results, selecting weak ties preferentially to republish cannot make the information diffuse quickly, while random selection can achieve this goal. However, when we remove the weak ties gradually, the coverage of the information will decrease sharply even in the case of random selection. We also give a reasonable explanation for this by extra analysis ...

  1. Agent-based simulations of emotion spreading in online social networks

    CERN Document Server

    Šuvakov, Milovan; Schweitzer, Frank; Tadić, Bosiljka

    2012-01-01

    Quantitative analysis of empirical data from online social networks reveals group dynamics in which emotions are involved (\\v{S}uvakov et al). Full understanding of the underlying mechanisms, however, remains a challenging task. Using agent-based computer simulations, in this paper we study dynamics of emotional communications in online social networks. The rules that guide how the agents interact are motivated, and the realistic network structure and some important parameters are inferred from the empirical dataset of \\texttt{MySpace} social network. Agent's emotional state is characterized by two variables representing psychological arousal---reactivity to stimuli, and valence---attractiveness or aversiveness, by which common emotions can be defined. Agent's action is triggered by increased arousal. High-resolution dynamics is implemented where each message carrying agent's emotion along the network link is identified and its effect on the recipient agent is considered as continuously aging in time. Our res...

  2. Modeling the cooperative and competitive contagions in online social networks

    Science.gov (United States)

    Zhuang, Yun-Bei; Chen, J. J.; Li, Zhi-hong

    2017-10-01

    The wide adoption of social media has increased the interaction among different pieces of information, and this interaction includes cooperation and competition for our finite attention. While previous research focus on fully competition, this paper extends the interaction to be both ;cooperation; and ;competition;, by employing an IS1S2 R model. To explore how two different pieces of information interact with each other, the IS1S2 R model splits the agents into four parts-(Ignorant-Spreader I-Spreader II-Stifler), based on SIR epidemic spreading model. Using real data from Weibo.com, a social network site similar to Twitter, we find some parameters, like decaying rates, can both influence the cooperative diffusion process and the competitive process, while other parameters, like infectious rates only have influence on the competitive diffusion process. Besides, the parameters' effect are more significant in the competitive diffusion than in the cooperative diffusion.

  3. Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits.

    Science.gov (United States)

    Hormes, Julia M; Kearns, Brianna; Timko, C Alix

    2014-12-01

    To assess disordered online social networking use via modified diagnostic criteria for substance dependence, and to examine its association with difficulties with emotion regulation and substance use. Cross-sectional survey study targeting undergraduate students. Associations between disordered online social networking use, internet addiction, deficits in emotion regulation and alcohol use problems were examined using univariate and multivariate analyses of covariance. A large University in the Northeastern United States. Undergraduate students (n = 253, 62.8% female, 60.9% white, age mean = 19.68, standard deviation = 2.85), largely representative of the target population. The response rate was 100%. Disordered online social networking use, determined via modified measures of alcohol abuse and dependence, including DSM-IV-TR diagnostic criteria for alcohol dependence, the Penn Alcohol Craving Scale and the Cut-down, Annoyed, Guilt, Eye-opener (CAGE) screen, along with the Young Internet Addiction Test, Alcohol Use Disorders Identification Test, Acceptance and Action Questionnaire-II, White Bear Suppression Inventory and Difficulties in Emotion Regulation Scale. Disordered online social networking use was present in 9.7% [n = 23; 95% confidence interval (5.9, 13.4)] of the sample surveyed, and significantly and positively associated with scores on the Young Internet Addiction Test (P addictive. Modified measures of substance abuse and dependence are suitable in assessing disordered online social networking use. Disordered online social networking use seems to arise as part of a cluster of symptoms of poor emotion regulation skills and heightened susceptibility to both substance and non-substance addiction. © 2014 Society for the Study of Addiction.

  4. Multirelational organization of large-scale social networks in an online world.

    Science.gov (United States)

    Szell, Michael; Lambiotte, Renaud; Thurner, Stefan

    2010-08-03

    The capacity to collect fingerprints of individuals in online media has revolutionized the way researchers explore human society. Social systems can be seen as a nonlinear superposition of a multitude of complex social networks, where nodes represent individuals and links capture a variety of different social relations. Much emphasis has been put on the network topology of social interactions, however, the multidimensional nature of these interactions has largely been ignored, mostly because of lack of data. Here, for the first time, we analyze a complete, multirelational, large social network of a society consisting of the 300,000 odd players of a massive multiplayer online game. We extract networks of six different types of one-to-one interactions between the players. Three of them carry a positive connotation (friendship, communication, trade), three a negative (enmity, armed aggression, punishment). We first analyze these types of networks as separate entities and find that negative interactions differ from positive interactions by their lower reciprocity, weaker clustering, and fatter-tail degree distribution. We then explore how the interdependence of different network types determines the organization of the social system. In particular, we study correlations and overlap between different types of links and demonstrate the tendency of individuals to play different roles in different networks. As a demonstration of the power of the approach, we present the first empirical large-scale verification of the long-standing structural balance theory, by focusing on the specific multiplex network of friendship and enmity relations.

  5. Engineering Online and In-Person Social Networks for Physical Activity: A Randomized Trial.

    Science.gov (United States)

    Rovniak, Liza S; Kong, Lan; Hovell, Melbourne F; Ding, Ding; Sallis, James F; Ray, Chester A; Kraschnewski, Jennifer L; Matthews, Stephen A; Kiser, Elizabeth; Chinchilli, Vernon M; George, Daniel R; Sciamanna, Christopher N

    2016-12-01

    Social networks can influence physical activity, but little is known about how best to engineer online and in-person social networks to increase activity. The purpose of this study was to conduct a randomized trial based on the Social Networks for Activity Promotion model to assess the incremental contributions of different procedures for building social networks on objectively measured outcomes. Physically inactive adults (n = 308, age, 50.3 (SD = 8.3) years, 38.3 % male, 83.4 % overweight/obese) were randomized to one of three groups. The Promotion group evaluated the effects of weekly emailed tips emphasizing social network interactions for walking (e.g., encouragement, informational support); the Activity group evaluated the incremental effect of adding an evidence-based online fitness walking intervention to the weekly tips; and the Social Networks group evaluated the additional incremental effect of providing access to an online networking site for walking as well as prompting walking/activity across diverse settings. The primary outcome was mean change in accelerometer-measured moderate-to-vigorous physical activity (MVPA), assessed at 3 and 9 months from baseline. Participants increased their MVPA by 21.0 min/week, 95 % CI [5.9, 36.1], p = .005, at 3 months, and this change was sustained at 9 months, with no between-group differences. Although the structure of procedures for targeting social networks varied across intervention groups, the functional effect of these procedures on physical activity was similar. Future research should evaluate if more powerful reinforcers improve the effects of social network interventions. The trial was registered with the ClinicalTrials.gov (NCT01142804).

  6. An Online Life Like Any Other: Identity, Self-Determination, and Social Networking Among Adults with Intellectual Disabilities.

    Science.gov (United States)

    Chadwick, Darren D; Fullwood, Chris

    2017-08-28

    Research focusing on online identity and the personal experiences of adults with intellectual disabilities (ID) is currently limited. Eleven adults with ID were interviewed regarding personal experiences of being online and using social media. Data were analyzed qualitatively using thematic network analysis. Two global themes, online relatedness and sharing and online agency and support, highlighted the positive potential of social media in enabling the development and maintenance of social bonds, valued social roles, and feelings of enjoyment, competence, autonomy, and self-worth. Participants reported sharing various expressed online identities that did not focus on or hide impairment, challenging notions of dependency, with participants both providing support and being supported online.

  7. Followers are not enough: a multifaceted approach to community detection in online social networks.

    Science.gov (United States)

    Darmon, David; Omodei, Elisa; Garland, Joshua

    2015-01-01

    In online social media networks, individuals often have hundreds or even thousands of connections, which link these users not only to friends, associates, and colleagues, but also to news outlets, celebrities, and organizations. In these complex social networks, a 'community' as studied in the social network literature, can have very different meaning depending on the property of the network under study. Taking into account the multifaceted nature of these networks, we claim that community detection in online social networks should also be multifaceted in order to capture all of the different and valuable viewpoints of 'community.' In this paper we focus on three types of communities beyond follower-based structural communities: activity-based, topic-based, and interaction-based. We analyze a Twitter dataset using three different weightings of the structural network meant to highlight these three community types, and then infer the communities associated with these weightings. We show that interesting insights can be obtained about the complex community structure present in social networks by studying when and how these four community types give rise to similar as well as completely distinct community structure.

  8. Triadic closure mechanism in face-to-face and online social relationship networks

    CERN Document Server

    Medus, A D

    2013-01-01

    In this work we analyze two experimental datasets comprising time-resolved social interactions. The first correspond to direct face-to-face encounters in a closed gathering, while the second correspond to online friendship relations in a massive social network. Beyond its dissimilar characteristics, we show the constraining effect played by triadic closure mechanism on the evolution of both time-cumulative networks. We propose a model for social networks growth based on triadic closure and random connection mechanisms. As opposed to the usual network growth algorithms, our model introduces nodes and edges growth in a decoupled fashion. We derive analytical results and perform extensive numerical simulations in regimes with and without population growth. Finally, we show that our model reproduces the main topological features of both time-cumulative social networks.

  9. Things online social networking can take away: Reminders of social networking sites undermine the desirability of offline socializing and pleasures.

    Science.gov (United States)

    Li, Shiang-Shiang; Chang, Yevvon Yi-Chi; Chiou, Wen-Bin

    2017-04-01

    People are beginning to develop symbiotic relationships with social networking sites (SNSs), which provide users with abundant opportunities for social interaction. We contend that if people perceive SNSs as sources of social connection, the idea of SNSs may reduce the desire to pursue offline social activities and offline pleasures. Experiment 1 demonstrated that priming with SNSs was associated with a weakened desirability of offline social activities and an increased inclination to work alone. Felt relatedness mediated the link between SNS primes and reduced desire to engage in offline social activities. Experiment 2 showed that exposure to SNS primes reduced the desirability of offline socializing and lowered the desire for offline pleasurable experiences as well. Moreover, heavy users were more susceptible to this detrimental effect. We provide the first experimental evidence that the idea of online social networking may modulate users' engagement in offline social activities and offline pleasures. Hence, online social networking may satisfy the need for relatedness but undercut the likelihood of reaping enjoyment from offline social life. © 2016 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

  10. POSTER: Privacy-Preserving Profile Similarity Computation in Online Social Networks

    NARCIS (Netherlands)

    Jeckmans, Arjan; Tang, Qiang; Hartel, Pieter

    2011-01-01

    Currently, none of the existing online social networks (OSNs) enables its users to make new friends without revealing their private information. This leaves the users in a vulnerable position when searching for new friends. We propose a solution which enables a user to compute her profile similarity

  11. A Theoretical Framework for Building Online Communities of Practice with Social Networking Tools

    Science.gov (United States)

    Gunawardena, Charlotte N.; Hermans, Mary Beth; Sanchez, Damien; Richmond, Carol; Bohley, Maribeth; Tuttle, Rebekah

    2009-01-01

    This paper proposes a theoretical framework as a foundation for building online communities of practice when a suite of social networking applications referred to as collective intelligence tools are utilized to develop a product or solutions to a problem. Drawing on recent developments in Web 2.0 tools, research on communities of practice and…

  12. Colleges and Universities Want to Be Your Friend: Communicating via Online Social Networking

    Science.gov (United States)

    Wandel, Tamara L.

    2008-01-01

    This article presents a compilation of data regarding the role of online social networks within campus communities, specifically for nonacademic purposes. Both qualitative and quantitative data methodologies are used to provide a unique perspective on a constantly evolving topic. Interviews of students and administrators allow for candid…

  13. USER-CENTRIC PERSONALIZED MULTIFACET MODEL TRUST IN ONLINE SOCIAL NETWORK

    Directory of Open Access Journals (Sweden)

    Liu Ban Chieng

    2014-12-01

    Full Text Available Online Social Network (OSN has become the most popular platform on the Internet that can provide an interesting and creative ways to communicate, sharing and meets with peoples. As OSNs mature, issues regarding proper use of OSNs are also growing. In this research, the challenges of online social networks have been investigated. The current issues in some of the Social Network Sites are being studied and compared. Cyber criminals, malware attacks, physical threat, security and usability and some privacy issues have been recognized as the challenges of the current social networking sites. Trust concerns have been raised and the trustworthiness of social networking sites has been questioned. Currently, the trust in social networks is using the single- faceted approach, which is not well personalized, and doesn’t account for the subjective views of trust, according to each user, but only the general trust believes of a group of population. The trust level towards a person cannot be calculated and trust is lack of personalization. From our initial survey, we had found that most people can share their information without any doubts on OSN but they normally do not trust all their friends equally and think there is a need of trust management. We had found mixed opinions in relation to the proposed rating feature in OSNs too. By adopting the idea of multi-faceted trust model, a user-centric model that can personalize the comments/photos in social network with user’s customized traits of trust is proposed. This model can probably solve many of the trust issues towards the social networking sites with personalized trust features, in order to keep the postings on social sites confidential and integrity.

  14. CONSUMER OPINIONS TOWARDS ONLINE MARKETING COMMUNICATION AND ADVERTISING ON SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    GHEORGHE ORZAN

    2012-05-01

    Full Text Available On the Internet, a medium that has already proven its effectiveness in marketing activities, changes take place with astonishing speed. The recent explosion of social networking applications and their number of users has captured the marketers’ attention. Companies have started to rethink their relationships with consumers and adapt to the new online world. In this virtual world of social networks the public is the key element. Consumers perceive the social network as a personal space where they control the content. They decide on their own what they want to see and share with others. Thus, in order to manage marketing communications effectively, marketers must know the consumers’ opinions towards their presence in social networks.

  15. CONSUMER OPINIONS TOWARDS ONLINE MARKETING COMMUNICATION AND ADVERTISING ON SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Gheorghe ORZAN

    2012-11-01

    Full Text Available On the Internet, a medium that has already proven its effectiveness in marketing activities, changes take place with astonishing speed. The recent explosion of social networking applications and their number of users has captured the marketers’ attention. Companies have started to rethink their relationships with consumers and adapt to the new online world. In this virtual world of social networks the public is the key element. Consumers perceive the social network as a personal space where they control the content. They decide on their own what they want to see and share with others. Thus, in order to manage marketing communications effectively, marketers must know the consumers’ opinions towards their presence in social networks.

  16. Social Networking and Online Privacy: Facebook Users' Perceptions

    National Research Council Canada - National Science Library

    Deirdre O'Brien; Ann M Torres

    2012-01-01

    This study investigates Facebook users' perceptions of online privacy, exploring their awareness of privacy issues and how their behaviour is influenced by this awareness, as well as the role of trust...

  17. Socializing Online

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Social networking sites bring about changes in social communication "I sent you a red Porsche today.You can establish a Porsche motorcade and launch a car race now!""I harvested a lot of tomatoes onmy farm." ...Currently,such dialogues are often heard among white-collar workers in cities.However, most are not rich enough to buy a Porsche as a

  18. Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review.

    Science.gov (United States)

    Arguel, Amaël; Perez-Concha, Oscar; Li, Simon Y W; Lau, Annie Y S

    2016-10-06

    The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted. A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four reviewers screened 1788 abstracts. 15 studies were selected according to the eligibility criteria. Randomized controlled trials and controlled studies were assessed using Cochrane Collaboration's "risk-of-bias" tool, and narrative synthesis. Five eligible articles used the social cognitive theory as a framework to develop interventions targeting behavioral change. Other theoretical frameworks were related to the dynamics of social networks, intention models, and community engagement theories. Only one of the studies selected in the review mentioned a well-known theory from the field of health psychology. Conclusions were that guidelines are lacking in the design of online social network interventions for behavioral change. Existing theories and models from health psychology that are traditionally used for in situ behavioral change should be considered when designing online social network interventions in a health care setting. © 2016 John Wiley & Sons, Ltd.

  19. How the online social networks are used: Dialogs-based structure of MySpace

    CERN Document Server

    Suvakov, Milovan; Gligorijevic, Vladimir; Tadic, Bosiljka

    2012-01-01

    Quantitative study of collective dynamics in online social networks is a new challenge based on the abundance of empirical data. Conclusions, however, may depend on factors as user's psychology profiles and their reasons to use the online contacts. In this paper we have compiled and analyzed two datasets from \\texttt{MySpace}. The data contain networked dialogs occurring within a specified time depth, high temporal resolution, and texts of messages, in which the emotion valence is assessed by using SentiStrength classifier. Performing a comprehensive analysis we obtain three groups of results: Dynamic topology of the dialogs-based networks have characteristic structure with Zipf's distribution of communities, low link reciprocity, and disassortative correlations. Overlaps supporting "weak-ties" hypothesis are found to follow the laws recently conjectured for online games. Long-range temporal correlations and persistent fluctuations occur in the time series of messages carrying positive (negative) emotion. Pat...

  20. Mental disorder recovery correlated with centralities and interactions on an online social network

    Directory of Open Access Journals (Sweden)

    Xinpei Ma

    2015-08-01

    Full Text Available Recent research has established both a theoretical basis and strong empirical evidence that effective social behavior plays a beneficial role in the maintenance of physical and psychological well-being of people. To test whether social behavior and well-being are also associated in online communities, we studied the correlations between the recovery of patients with mental disorders and their behaviors in online social media. As the source of the data related to the social behavior and progress of mental recovery, we used PatientsLikeMe (PLM, the world’s first open-participation research platform for the development of patient-centered health outcome measures. We first constructed an online social network structure based on patient-to-patient ties among 200 patients obtained from PLM. We then characterized patients’ online social activities by measuring the numbers of “posts and views” and “helpful marks” each patient obtained. The patients’ recovery data were obtained from their self-reported status information that was also available on PLM. We found that some node properties (in-degree, eigenvector centrality and PageRank and the two online social activity measures were significantly correlated with patients’ recovery. Furthermore, we re-collected the patients’ recovery data two months after the first data collection. We found significant correlations between the patients’ social behaviors and the second recovery data, which were collected two months apart. Our results indicated that social interactions in online communities such as PLM were significantly associated with the current and future recoveries of patients with mental disorders.

  1. Mental disorder recovery correlated with centralities and interactions on an online social network.

    Science.gov (United States)

    Ma, Xinpei; Sayama, Hiroki

    2015-01-01

    Recent research has established both a theoretical basis and strong empirical evidence that effective social behavior plays a beneficial role in the maintenance of physical and psychological well-being of people. To test whether social behavior and well-being are also associated in online communities, we studied the correlations between the recovery of patients with mental disorders and their behaviors in online social media. As the source of the data related to the social behavior and progress of mental recovery, we used PatientsLikeMe (PLM), the world's first open-participation research platform for the development of patient-centered health outcome measures. We first constructed an online social network structure based on patient-to-patient ties among 200 patients obtained from PLM. We then characterized patients' online social activities by measuring the numbers of "posts and views" and "helpful marks" each patient obtained. The patients' recovery data were obtained from their self-reported status information that was also available on PLM. We found that some node properties (in-degree, eigenvector centrality and PageRank) and the two online social activity measures were significantly correlated with patients' recovery. Furthermore, we re-collected the patients' recovery data two months after the first data collection. We found significant correlations between the patients' social behaviors and the second recovery data, which were collected two months apart. Our results indicated that social interactions in online communities such as PLM were significantly associated with the current and future recoveries of patients with mental disorders.

  2. Emergence of scale-free close-knit friendship structure in online social networks

    CERN Document Server

    Cui, Ai-xiang; Tang, Ming; Fu, Yan

    2012-01-01

    The structures of online social networks have attracted considerable attention in recent years, but the close-knit friendship structures are still in question. In this study, we mainly concentrate on how these mesoscale structures are influenced by both global and local structure properties. We first empirically analyze the structure properties of several large-scale online social networks, and find that both local structures (i. e., indegree, outdegree, and reciprocal degree) and mesoscale structures (i. e., close-knit friendship structures) show scale-free properties. Surprisingly, indegree, outdegree, and reciprocal degree distributions in local-scale follow almost the same power law, and the distributions of four close-knit friendship structures in mesoscale display the same scaling law. To explain this fully, we propose a simplified directed network model with external reciprocation and internal evolution processes. Through rate equation analysis, the local-scale and mesoscale structure properties are de...

  3. Scaling-Up Youth-Led Social Justice Efforts through an Online School-Based Social Network.

    Science.gov (United States)

    Kornbluh, Mariah; Neal, Jennifer Watling; Ozer, Emily J

    2016-06-01

    The exploration of social networking sites (SNS) in promoting social change efforts offers great potential within the field of community psychology. Online communities on SNS provide opportunities for bridging across groups, thus fostering the exchange of novel ideas and practices. Currently, there have only been limited efforts to examine SNS within the context of youth-led efforts. To explore the potential of SNS to facilitate the diffusion of social justice efforts between distinct youth groups, we linked three school-based youth-led participatory action research projects involving 54 high school students through a SNS. This study offers an innovative methodological approach and framework, utilizing social network analysis and strategic sampling of key student informants to investigate what individual behaviors and online network features predict student adoption of social change efforts. Findings highlight prospective facilitators and barriers to diffusion processes within a youth-led online network, as well as key constructs that may inform future research. We conclude by providing suggestions for scholars and practitioners interested in examining how SNS can be used to enhance the diffusion of social justice strategies, youth-led engagement efforts, and large-scale civic organizing.

  4. Local Social Networks

    DEFF Research Database (Denmark)

    Sapuppo, Antonio; Sørensen, Lene Tolstrup

    2011-01-01

    Online social networks have become essential for many users in their daily communication. Through a combination of the online social networks with opportunistic networks, a new concept arises: Local Social Networks. The target of local social networks is to promote social networking benefits...... in physical environment in order to leverage personal affinities in the users' surroundings. The purpose of this paper is to present and discuss the concept of local social networks as a new social communication system. Particularly, the preliminary architecture and the prototype of local social networks...

  5. A Few Philosophical Remarks Regarding Lévinas Face Ethics in Online Social Networking

    Directory of Open Access Journals (Sweden)

    Ioan Mircea TURCULET

    2017-06-01

    Full Text Available We live today in a world that depends on technology. The development of technology oblige us to find better ethics necessary to solve the new moral problems brought by the technology evolution. An example of such technologies are online social networking. These sites can be described as revolutionary technologies due to the fact that they have a huge political and social impact. As social impact of social networking sites grows so are the new ethical problems. The originality of this articles stands in the fact that is trying to prove that not all existent ethics can be applied to resolve new ethical problems brought by social networking. For example in online social networking Lévinas Face Ethics cannot be applied because this ethics was made to described a real face-to-face meeting with the Other, not one intermediated by computers or avatars. To prove our point we construct arguments as sensitivity problem in Lévinas ethics or the search of foundations of Lévinas image ethics. We used arguments from mind philosophy to prove that Face can enter the virtual world as image, but Lévinas image philosophy proves that image, photos, films or avatars have no moral statute.

  6. The spreading of opposite opinions on online social networks with authoritative nodes

    Science.gov (United States)

    Yan, Shu; Tang, Shaoting; Pei, Sen; Jiang, Shijin; Zhang, Xiao; Ding, Wenrui; Zheng, Zhiming

    2013-09-01

    The study of opinion dynamics, such as spreading and controlling of rumors, has become an important issue on social networks. Numerous models have been devised to describe this process, including epidemic models and spin models, which mainly focus on how opinions spread and interact with each other, respectively. In this paper, we propose a model that combines the spreading stage and the interaction stage for opinions to illustrate the process of dispelling a rumor. Moreover, we set up authoritative nodes, which disseminate positive opinion to counterbalance the negative opinion prevailing on online social networking sites. With analysis of the relationship among positive opinion proportion, opinion strength and the density of authoritative nodes in networks with different topologies, we demonstrate that the positive opinion proportion grows with the density of authoritative nodes until the positive opinion prevails in the entire network. In particular, the relationship is linear in homogeneous topologies. Besides, it is also noteworthy that initial locations of the negative opinion source and authoritative nodes do not influence positive opinion proportion in homogeneous networks but have a significant impact on heterogeneous networks. The results are verified by numerical simulations and are helpful to understand the mechanism of two different opinions interacting with each other on online social networking sites.

  7. Design to Thrive Creating Social Networks and Online Communities that Last

    CERN Document Server

    Howard, Tharon W

    2010-01-01

    Social networks and online communities are reshaping the way people communicate, both in their personal and professional lives. What makes some succeed and others fail? What draws a user in? What makes them join? What keeps them coming back? Entrepreneurs and businesses are turning to user experience practitioners to figure this out. Though they are well-equipped to evaluate and create a variety of interfaces, social networks require a different set of design principles and ways of thinking about the user in order to be successful. .. .. Design to Thrive presents tried and tested design method

  8. Next-Generation Strategic Communication: Building Influence through Online Social Networking

    Science.gov (United States)

    2009-06-01

    technologically-driven extensions of the relationships, interactions, and alliances that people establish as part of their everyday lives. However...communicating with people who are already a part of their extended social network. Recent Successful Online Social Network Events Though a relatively... Millon  de Voces Marchan en Contra de las FARC,” http://www.eltiempo.com, (accessed April 21, 2009).  11 The Washington Post, “Young Voters Find Voice

  9. Communication, opponents, and clan performance in online games: a social network approach.

    Science.gov (United States)

    Lee, Hong Joo; Choi, Jaewon; Kim, Jong Woo; Park, Sung Joo; Gloor, Peter

    2013-12-01

    Online gamers form clans voluntarily to play together and to discuss their real and virtual lives. Although these clans have diverse goals, they seek to increase their rank in the game community by winning more battles. Communications among clan members and battles with other clans may influence the performance of a clan. In this study, we compared the effects of communication structure inside a clan, and battle networks among clans, with the performance of the clans. We collected battle histories, posts, and comments on clan pages from a Korean online game, and measured social network indices for communication and battle networks. Communication structures in terms of density and group degree centralization index had no significant association with clan performance. However, the centrality of clans in the battle network was positively related to the performance of the clan. If a clan had many battle opponents, the performance of the clan improved.

  10. Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives

    Science.gov (United States)

    2016-01-01

    Background Mental health problems have become increasingly prevalent in the past decade. With the advance of Web 2.0 technologies, social media present a novel platform for Web users to form online health groups. Members of online health groups discuss health-related issues and mutually help one another by anonymously revealing their mental conditions, sharing personal experiences, exchanging health information, and providing suggestions and support. The conversations in online health groups contain valuable information to facilitate the understanding of their mutual help behaviors and their mental health problems. Objective We aimed to characterize the conversations in a major online health group for major depressive disorder (MDD) patients in a popular Chinese social media platform. In particular, we intended to explain how Web users discuss depression-related issues from the perspective of the social networks and linguistic patterns revealed by the members’ conversations. Methods Social network analysis and linguistic analysis were employed to characterize the social structure and linguistic patterns, respectively. Furthermore, we integrated both perspectives to exploit the hidden relations between them. Results We found an intensive use of self-focus words and negative affect words. In general, group members used a higher proportion of negative affect words than positive affect words. The social network of the MDD group for depression possessed small-world and scale-free properties, with a much higher reciprocity ratio and clustering coefficient value as compared to the networks of other social media platforms and classic network models. We observed a number of interesting relationships, either strong correlations or convergent trends, between the topological properties and linguistic properties of the MDD group members. Conclusions (1) The MDD group members have the characteristics of self-preoccupation and negative thought content, according to Beck

  11. Diffusion of influence in energy awareness campaigns on the online social networking site of facebook

    Energy Technology Data Exchange (ETDEWEB)

    Samaha, Kimberly

    2010-09-15

    The era of government jurisdiction based on separate and autonomous entities has been replaced with an intergovernmental and intersectoral network of industry, regulators, special interest groups and individual citizens. New forms of regulatory feedback will be inspired more by the concepts of networks- they will be flatter, leaner, and more flexible. An evaluation of new methods for the diffusion of public awareness regarding energy technologies, policies and projects, was conducted using the technology platform of Facebook. This paper reports on the results of an eighteen month formal study of the Diffusion of Influence in Online Social Networks.

  12. Socializing Online

    Institute of Scientific and Technical Information of China (English)

    YU YAN

    2010-01-01

    @@ "Ident you a red Porsche today. You can establish a Porsche motorcade and launch a car race now!" "I har-vested a lot of tomatoes on my farm"... Currently, such dialogues are often heard among white-collar workers in dries. However,rnost are not rich enough to buy a Porsche as a gift for a friend, and most do not actually have a farm. These virtual activities all happen on the social networking site KaixinO01, com.

  13. Finding The Most Important Actor in Online Crowd by Social Network Analysis

    Science.gov (United States)

    Yuliana, I.; Santosa, P. I.; Setiawan, N. A.; Sukirman

    2017-02-01

    Billion of people create trillions of connections through social media every single day. The increasing use of social media has led to dramatic changes in the of way science, government, healthcare, entertainment and enterprise operate. Large-scale participation in Technology-Mediated Social Participation (TMSP) system has opened up incredible new opportunities to deploy online crowd. This descriptive-correlational research used social network analysis (SNA) on data gathered from Fanpage Facebook of Greenpeace Indonesia related to important critical issues, the bushfires in 2015. SNA identifies relations on each member by sociometrics parameter such as three centrality (degree, closeness and betweenesse) for measuring and finding the most important actor in the online community. This paper use Fruchterman Rein-gold algorithm to visualize the online community in a graph, while Clauset-Newman-Moore is a technique to identify groups in community. As the result found 3735 vertices related to actors, 6927 edges as relation, 14 main actors in size order and 22 groups in Greenpeace Indonesia online community. This research contributes to organize some information for Greenpeace Indonesia managing their potency in online community to identify human behaviour.

  14. Ambient awareness: From random noise to digital closeness in online social networks.

    Science.gov (United States)

    Levordashka, Ana; Utz, Sonja

    2016-07-01

    Ambient awareness refers to the awareness social media users develop of their online network in result of being constantly exposed to social information, such as microblogging updates. Although each individual bit of information can seem like random noise, their incessant reception can amass to a coherent representation of social others. Despite its growing popularity and important implications for social media research, ambient awareness on public social media has not been studied empirically. We provide evidence for the occurrence of ambient awareness and examine key questions related to its content and functions. A diverse sample of participants reported experiencing awareness, both as a general feeling towards their network as a whole, and as knowledge of individual members of the network, whom they had not met in real life. Our results indicate that ambient awareness can develop peripherally, from fragmented information and in the relative absence of extensive one-to-one communication. We report the effects of demographics, media use, and network variables and discuss the implications of ambient awareness for relational and informational processes online.

  15. Interaction patterns of nurturant support exchanged in online health social networking.

    Science.gov (United States)

    Chuang, Katherine Y; Yang, Christopher C

    2012-05-03

    Expressing emotion in online support communities is an important aspect of enabling e-patients to connect with each other and expand their social resources. Indirectly it increases the amount of support for coping with health issues. Exploring the supportive interaction patterns in online health social networking would help us better understand how technology features impacts user behavior in this context. To build on previous research that identified different types of social support in online support communities by delving into patterns of supportive behavior across multiple computer-mediated communication formats. Each format combines different architectural elements, affecting the resulting social spaces. Our research question compared communication across different formats of text-based computer-mediated communication provided on the MedHelp.org health social networking environment. We identified messages with nurturant support (emotional, esteem, and network) across three different computer-mediated communication formats (forums, journals, and notes) of an online support community for alcoholism using content analysis. Our sample consisted of 493 forum messages, 423 journal messages, and 1180 notes. Nurturant support types occurred frequently among messages offering support (forum comments: 276/412 messages, 67.0%; journal posts: 65/88 messages, 74%; journal comments: 275/335 messages, 82.1%; and notes: 1002/1180 messages, 84.92%), but less often among messages requesting support. Of all the nurturing supports, emotional (ie, encouragement) appeared most frequently, with network and esteem support appearing in patterns of varying combinations. Members of the Alcoholism Community appeared to adapt some traditional face-to-face forms of support to their needs in becoming sober, such as provision of encouragement, understanding, and empathy to one another. The computer-mediated communication format may have the greatest influence on the supportive interactions

  16. Digital divide 2.0: the role of social networking sites in seeking health information online from a longitudinal perspective.

    Science.gov (United States)

    Feng, Yang; Xie, Wenjing

    2015-01-01

    Adopting a longitudinal angle, this study analyzed data from the Pew Internet's Health Tracking Survey in 2006, 2008, and 2010 to identify potential communication inequalities in social networking site use. Results showed that with the growing role of social networking site use in predicting people's likelihood of seeking health information online, the socioeconomic and demographic factors that contributed to the disparities in social networking site use could also lead to disparities in seeking health information online. Also, results indicated that people are more likely to seek heath-related information online if they or their close family or friends have a chronic disease situation.

  17. To View or Not To View: The Influence of Social Networks and Subjective Norms on Online Pornography Consumption

    Directory of Open Access Journals (Sweden)

    Wan-Ying Lin

    2012-06-01

    Full Text Available This study investigates the influence of social networks and subjective norms on an individual’s online pornography consumption. The empirical survey results of 324 voluntary participants indicated that the individual’s positive outcome evaluation was associated with a higher level of online pornography exposure. Social pressure also plays a significant, but negative, role in one’s viewing decision.

  18. Interprofessional Student Perspectives of Online Social Networks in Health and Business Education.

    Science.gov (United States)

    Doyle, Glynda; Jones, Cyri; Currie, Leanne

    2016-01-01

    The education sector is experiencing unprecedented change with the increasing use by students of mobile devices, social networks and e-portfolios as they prepare for future positions in the workforce. The purpose of this study was to examine student's preferences around these technologies. A mixed methods research strategy was used with an initial online survey using 29 Likert scale style questions to students from the School of Health Sciences and the School of Business at the British Columbia Institute of Technology (BCIT). Descriptive statistics and ANOVAs were performed to examine if there were any differences between groups regarding their overall responses to the survey questions. Content analysis was used for qualitative focus group data. Overall, students (n = 260) were enthusiastic about technology but wary of cost, lack of choice, increased workload and faculty involvement in their online social networks. Of note, students see significant value in face-to-face classroom time.

  19. Social Relation Networks in UT-Online Community Forum

    Science.gov (United States)

    Farisi, Mohammad Imam

    2012-01-01

    So far, the existence of a virtual community forum has become a reality and social necessity in an era cybertech. It was also viewed as the electronic frontier of 21st century society that was undoubtedly for reorganizing and redefining to awareness of human being, that ways of their perceptions and explorations no longer limited by time, space,…

  20. Redes sociales online y su utilización para mejorar las habilidades sociales en jóvenes con discapacidad (Online social networks and using them to improve social skills in young people with disabilities

    Directory of Open Access Journals (Sweden)

    Raquel Suriá Martínez

    2012-12-01

    Full Text Available In recent years, online social networks have introduced profound changes in our environment and new ways of relating to others. The use of social networks is increasingly common, especially among young people, and could further empower young people with limited mobility as a result of a disability. This paper examines the opinions of young people with motor disabilities about the friendships they maintain over online networks and their perceptions regarding how these networks improve their social skills. This is discussed in reference to gender, age and occupation. 68 young people with physical disabilities answered an online questionnaire created for this purpose. The results were analyzed using quantitative methodology. Although we found significant differences based on gender, age and occupation, most of the young people perceived themselves as being highly motivated to use these spaces for personal relationships. They also value the networks in improving their social skills. These results suggest that online social networks are important to young people with physical disabilities in their social relationships, and may also help to design programs aimed at promoting social integration.

  1. Collecting Family Health History using an Online Social Network: a Nationwide Survey among Potential Users

    Science.gov (United States)

    Welch, Brandon M.; O’Connell, Nathaniel S.; Qanungo, Suparna; Halbert-Hughes, Chanita; Schiffman, Joshua D.

    2015-01-01

    Family health history (FHx) is one of the most important risk factors for disease. Unfortunately, collection and use of FHx is under-utilized in the clinical setting. Efforts to improve collection of FHx have had minimal impact. A novel approach to collect FHx using social networking capabilities is being explored. We conducted a nationwide survey of 5,258 respondents to 1- assess the interest in using an online social network for FHx, 2- identify if such a tool would have clinical utility, and 3- identify notable trends and potential concerns. We found survey respondents to be very supportive of the proposed approach and interesting trends related to age, education, and race were identified. Results from this survey will be used to guide future research and development of a proposed FHx social network application. PMID:26958272

  2. Identity Verification Mechanism for Detecting Fake Profiles in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Ali M. Meligy

    2017-01-01

    Full Text Available Impersonating users' identity in Online Social Networks (OSNs is one of the open dilemmas from security and privacy point of view. Scammers and adversaries seek to create set of fake profiles to carry out malicious behaviors and online social crimes in social media. Recognizing the identity of Fake Profiles is an urgent issue of concern to the attention of researchers. In this paper, we propose a detection technique called Fake Profile Recognizer (FPR for verifying the identity of profiles, and detecting the fake profiles in OSNs. The detection method in our proposed technique is based on utilizing Regular Expression (RE and Deterministic Finite Automaton (DFA approaches. We evaluated our proposed detection technique on three datasets types of OSNs: Facebook, Google+, and Twitter. The results explored high Precision, Recall, accuracy, and low False Positive Rates (FPR of detecting Fake Profiles in the three datasets.

  3. Mobilizing Homeless Youth for HIV Prevention: A Social Network Analysis of the Acceptability of a Face-to-Face and Online Social Networking Intervention

    Science.gov (United States)

    Rice, Eric; Tulbert, Eve; Cederbaum, Julie; Adhikari, Anamika Barman; Milburn, Norweeta G.

    2012-01-01

    The objective of the study is to use social network analysis to examine the acceptability of a youth-led, hybrid face-to-face and online social networking HIV prevention program for homeless youth. Seven peer leaders (PLs) engaged face-to-face homeless youth (F2F) in the creation of digital media projects (e.g. You Tube videos). PL and F2F…

  4. Mobilizing Homeless Youth for HIV Prevention: A Social Network Analysis of the Acceptability of a Face-to-Face and Online Social Networking Intervention

    Science.gov (United States)

    Rice, Eric; Tulbert, Eve; Cederbaum, Julie; Adhikari, Anamika Barman; Milburn, Norweeta G.

    2012-01-01

    The objective of the study is to use social network analysis to examine the acceptability of a youth-led, hybrid face-to-face and online social networking HIV prevention program for homeless youth. Seven peer leaders (PLs) engaged face-to-face homeless youth (F2F) in the creation of digital media projects (e.g. You Tube videos). PL and F2F…

  5. Original research: online social networking patterns among adolescents, young adults, and sexual offenders.

    Science.gov (United States)

    Dowdell, Elizabeth B; Burgess, Ann W; Flores, J Robert

    2011-07-01

    The use of online social networks like Facebook continues to increase rapidly among all age groups and segments of our society, presenting new opportunities for the exchange of sexual information as well as for potentially unsafe encounters between predators and the vulnerable or young. This study surveyed middle school, high school, and college-age students, as well as sexual offenders, regarding their use of social networking sites in order to provide information to better focus education and prevention efforts from nurses and other health care providers. Written questionnaires asking about various characteristics of participants' use of social networking sites were distributed to each group and filled out by 404 middle school students, 2,077 high school students, 1,284 students drawn from five traditional four-year colleges, and 466 adults who had committed either an Internet sexual offense or a hands-on sexual offense (in some cases both). Notable findings emerging from our analysis of the questionnaire responses included the following: offenders and students both frequent social networking sites, although at the time of the study offenders reported that they preferred Myspace and students that they preferred Facebook; nearly two-thirds of the Internet offenders said they'd initiated the topic of sex in their first chat session; more than half of the Internet offenders disguised their identity when online; most Internet offenders we surveyed said they preferred communicating with teenage girls rather than teenage boys; high school students' experience with "sexting" (sharing nude photos of themselves or others on cell phones or online) differed significantly according to their sex; a small number of students are being threatened and assaulted by people they meet online; avatar sites such as Second Life were used both by students and offenders, with both child molesters and Internet offenders expressing interest in Second Life. The use of the Internet presents

  6. Online social networks for crowdsourced multimedia-involved behavioral testing: An empirical study

    Directory of Open Access Journals (Sweden)

    Jun-Ho eChoi

    2016-01-01

    Full Text Available Online social networks have emerged as effective crowdsourcing media to recruit participants in recent days. However, issues regarding how to effectively exploit them have not been adequately addressed yet. In this paper, we investigate the reliability and effectiveness of multimedia-involved behavioral testing via social network-based crowdsourcing, especially focused on Facebook as a medium to recruit participants. We conduct a crowdsourcing-based experiment for a music recommendation problem. It is shown that different advertisement methods yield different degrees of efficiency and there exist significant differences in behavioral patterns across different genders and different age groups. In addition, we perform a comparison of our experiment with other multimedia-involved crowdsourcing experiments built on Amazon Mechanical Turk (MTurk, which suggests that crowdsourcing-based experiments using social networks for recruitment can achieve comparable efficiency. Based on the analysis results, advantages and disadvantages of social network-based crowdsourcing and suggestions for successful experiments are also discussed. We conclude that social networks have the potential to support multimedia-involved behavioral tests to gather in-depth data even for long-term periods.

  7. Online Social Networks for Crowdsourced Multimedia-Involved Behavioral Testing: An Empirical Study.

    Science.gov (United States)

    Choi, Jun-Ho; Lee, Jong-Seok

    2015-01-01

    Online social networks have emerged as effective crowdsourcing media to recruit participants in recent days. However, issues regarding how to effectively exploit them have not been adequately addressed yet. In this paper, we investigate the reliability and effectiveness of multimedia-involved behavioral testing via social network-based crowdsourcing, especially focused on Facebook as a medium to recruit participants. We conduct a crowdsourcing-based experiment for a music recommendation problem. It is shown that different advertisement methods yield different degrees of efficiency and there exist significant differences in behavioral patterns across different genders and different age groups. In addition, we perform a comparison of our experiment with other multimedia-involved crowdsourcing experiments built on Amazon Mechanical Turk (MTurk), which suggests that crowdsourcing-based experiments using social networks for recruitment can achieve comparable efficiency. Based on the analysis results, advantages and disadvantages of social network-based crowdsourcing and suggestions for successful experiments are also discussed. We conclude that social networks have the potential to support multimedia-involved behavioral tests to gather in-depth data even for long-term periods.

  8. Online Social Networks for Crowdsourced Multimedia-Involved Behavioral Testing: An Empirical Study

    Science.gov (United States)

    Choi, Jun-Ho; Lee, Jong-Seok

    2016-01-01

    Online social networks have emerged as effective crowdsourcing media to recruit participants in recent days. However, issues regarding how to effectively exploit them have not been adequately addressed yet. In this paper, we investigate the reliability and effectiveness of multimedia-involved behavioral testing via social network-based crowdsourcing, especially focused on Facebook as a medium to recruit participants. We conduct a crowdsourcing-based experiment for a music recommendation problem. It is shown that different advertisement methods yield different degrees of efficiency and there exist significant differences in behavioral patterns across different genders and different age groups. In addition, we perform a comparison of our experiment with other multimedia-involved crowdsourcing experiments built on Amazon Mechanical Turk (MTurk), which suggests that crowdsourcing-based experiments using social networks for recruitment can achieve comparable efficiency. Based on the analysis results, advantages and disadvantages of social network-based crowdsourcing and suggestions for successful experiments are also discussed. We conclude that social networks have the potential to support multimedia-involved behavioral tests to gather in-depth data even for long-term periods. PMID:26793137

  9. Online and social networking interventions for the treatment of depression in young people: a systematic review.

    Science.gov (United States)

    Rice, Simon M; Goodall, Joanne; Hetrick, Sarah E; Parker, Alexandra G; Gilbertson, Tamsyn; Amminger, G Paul; Davey, Christopher G; McGorry, Patrick D; Gleeson, John; Alvarez-Jimenez, Mario

    2014-09-16

    Major depression accounts for the greatest burden of all diseases globally. The peak onset of depression occurs between adolescence and young adulthood, and for many individuals, depression displays a relapse-remitting and increasingly severe course. Given this, the development of cost-effective, acceptable, and population-focused interventions for depression is critical. A number of online interventions (both prevention and acute phase) have been tested in young people with promising results. As these interventions differ in content, clinician input, and modality, it is important to identify key features (or unhelpful functions) associated with treatment outcomes. A systematic review of the research literature was undertaken. The review was designed to focus on two aspects of online intervention: (1) standard approaches evaluating online intervention content in randomized controlled designs (Section 1), and (2) second-generation online interventions and services using social networking (eg, social networking sites and online support groups) in any type of research design (Section 2). Two specific literature searches were undertaken. There was no date range specified. The Section 1 search, which focused on randomized controlled trials, included only young people (12-25 years) and yielded 101 study abstracts, of which 15 met the review inclusion criteria. The Section 2 search, which included all study design types and was not restricted in terms of age, yielded 358 abstracts, of which 22 studies met the inclusion criteria. Information about the studies and their findings were extracted and tabulated for review. The 15 studies identified in Section 1 described 10 trials testing eight different online interventions, all of which were based on a cognitive behavioral framework. All but one of the eight identified studies reported positive results; however, only five of the 15 studies used blinded interviewer administered outcomes with most trials using self-report data

  10. From Subjective Trust to Objective Trustworthiness in On-line Social Networks: Overview and Challenges

    Directory of Open Access Journals (Sweden)

    David Zejda

    2010-04-01

    Full Text Available Nowadays dozens of people share their content in the current Web 2.0 space, talk with friends in social networking sites such as Facebook and live on the Net in many other ways. They do all this quite naturally, forgetting the healthy cautiousness sometimes. In real life we rely on trusted people. Do we know how to reflect real-world trust mechanisms into on-line social software? In the article we focused to bring overview on state of the art in main ideas behind a trust processing in online social networking systems. What are common sources of subjective trust, how the trust emerges and what are the sources of trust dynamics? How can be trust captured into the systems, how can be explicit trust processed to infer indirect trust, the trust between users who do not know each other? And what are the ways to infer objective metrics of trust, the reputation or trustworthiness? Finally, we point out selected challenges related to the trust in current highly dynamic social networks.

  11. Inter-Profile Similarity (IPS): A Method for Semantic Analysis of Online Social Networks

    Science.gov (United States)

    Spear, Matt; Lu, Xiaoming; Matloff, Norman S.; Wu, S. Felix

    Online Social Networks (OSN)[OSN] are experiencing an explosive growth rate and are becoming an increasingly important part of people’s lives. There is an increasing desire to aid online users in identifying potential friends, interesting groups, and compelling products to users. These networks have offered researchers almost total access to large corpora of data. An interesting goal in utilizing this data is to analyze user profiles and identify how similar subsets of users are. The current techniques for comparing users are limited as they require common terms to be shared by users. We present a simple and novel extension to a word-comparison algorithm [6], entitled Inter-Profile Similarity (IPS), which allows comparison of short text phrases even if they share no common terms. The output of Inter-Profile Similarity (IPS) is simply a scalar value in [0,1], with 1 denoting complete similarity and 0 the opposite. Therefore it is easy to understand and can provide a total ordering of users. We, first, evaluated the effectiveness of Inter-Profile Similarity (IPS) with a user-study, and then applied it to datasets from Facebook and Orkut verifying and extending earlier results. We show that Inter-Profile Similarity (IPS) yields both a larger range for the similarity value and obtains a higher value than intersection-based mechanisms. Both Inter-Profile Similarity (IPS) and the output from the analysis of the two Online Social Networks (OSN)[OSN] should help to predict and classify social links, make recommendations, and annotate friends relations for social network analysis.

  12. Social network analysis as a method for analyzing interaction in collaborative online learning environments

    Directory of Open Access Journals (Sweden)

    Patricia Rice Doran

    2011-12-01

    Full Text Available Social network analysis software such as NodeXL has been used to describe participation and interaction in numerous social networks, but it has not yet been widely used to examine dynamics in online classes, where participation is frequently required rather than optional and participation patterns may be impacted by the requirements of the class, the instructor’s activities, or participants’ intrinsic engagement with the subject matter. Such social network analysis, which examines the dynamics and interactions among groups of participants in a social network or learning group, can be valuable in programs focused on teaching collaborative and communicative skills, including teacher preparation programs. Applied to these programs, social network analysis can provide information about instructional practices likely to facilitate student interaction and collaboration across diverse student populations. This exploratory study used NodeXL to visualize students’ participation in an online course, with the goal of identifying (1 ways in which NodeXL could be used to describe patterns in participant interaction within an instructional setting and (2 identifying specific patterns in participant interaction among students in this particular course. In this sample, general education teachers demonstrated higher measures of connection and interaction with other participants than did those from specialist (ESOL or special education backgrounds, and tended to interact more frequently with all participants than the majority of participants from specialist backgrounds. We recommend further research to delineate specific applications of NodeXL within an instructional context, particularly to identify potential patterns in student participation based on variables such as gender, background, cultural and linguistic heritage, prior training and education, and prior experience so that instructors can ensure their practice helps to facilitate student interaction

  13. Frequency of victimization experiences and well-being among online, offline and combined victims on social online network sites of German children and adolescents

    Directory of Open Access Journals (Sweden)

    Michael eGlüer

    2015-12-01

    Full Text Available Victimization is associated with negative developmental outcomes in childhood and adolescence. However, previous studies have provided mixed results regarding the association between offline and online victimization and indicators of social, psychological, and somatic well-being. In this study, we investigated 1,906 German children and adolescents (grades 5 to 10, mean age = 13.9; SD = 2.1 with and without offline or online victimization experiences who participated in a social online network (SNS. Online questionnaires were used to assess previous victimization (offline, online, combined, and without, somatic and psychological symptoms, self-esteem, and social self-concept (social competence, resistance to peer influence, esteem by others. In total, 1,362 (71.4% children and adolescents reported being a member of at least one social online network, and 377 students (28.8% reported previous victimization. Most children and adolescents had offline victimization experiences (17.5%, whereas 2.7% reported online victimization, and 8.6% reported combined experiences. Girls reported more online and combined victimization, and boys reported more offline victimization. The type of victimization (offline, online, combined was associated with increased reports of psychological and somatic symptoms, lower self-esteem and esteem by others, and lower resistance to peer influences. The effects were comparable for the groups with offline and online victimization. They were, however, increased in the combined group in comparison to victims with offline experiences alone.

  14. A Game Theoretic Approach for Modeling Privacy Settings of an Online Social Network

    Directory of Open Access Journals (Sweden)

    Jundong Chen

    2014-05-01

    Full Text Available Users of online social networks often adjust their privacy settings to control how much information on their profiles is accessible to other users of the networks. While a variety of factors have been shown to affect the privacy strategies of these users, very little work has been done in analyzing how these factors influence each other and collectively contribute towards the users’ privacy strategies. In this paper, we analyze the influence of attribute importance, benefit, risk and network topology on the users’ attribute disclosure behavior by introducing a weighted evolutionary game model. Results show that: irrespective of risk, users aremore likely to reveal theirmost important attributes than their least important attributes; when the users’ range of influence is increased, the risk factor plays a smaller role in attribute disclosure; the network topology exhibits a considerable effect on the privacy in an environment with risk.

  15. Security Visualization Analytics Model in Online Social Networks Using Data Mining and Graph-based Structure Algorithms

    Directory of Open Access Journals (Sweden)

    Prajit Limsaiprom

    2014-07-01

    Full Text Available The rise of the Internet accelerates the creation of various large-scale online social networks, which can be described the relationships and activities between human beings. The online social networks relationships in real world are too big to present with useful information to identify the criminal or cyber-attacks. This research proposed new information security analytic model for online social networks, which called Security Visualization Analytics (SVA Model. SVA Model used the set of algorithms (1 Graph-based Structure algorithm to analyze the key factors of influencing nodes about density, centrality and the cohesive subgroup to identify the influencing nodes of anomaly and attack patterns (2 Supervised Learning with oneR classification algorithm was used to predict new links from such influencing nodes in online social networks on discovering surprising links in the existing ones of influencing nodes, which nodes in online social networks will be linked next from the attacked influencing nodes to monitor the risk. The results showed 42 influencing nodes of anomaly and attack patterns and can be predict 31 new links from such nodes were achieved by SVA Model with the accuracy of confidence level 95.0%. The new proposed model and results illustrated SVA Model was significance analysis. Such understanding can lead to efficient implementation of tools to links prediction in online social networks. They could be applied as a guide to further investigate of social networks behavior to improve the security model and notify the risk, computer viruses or cyber-attacks for online social networks in advance.

  16. Privacy-Preserving and Efficient Friend Recommendation in Online Social Networks

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    Bharath K. Samanthula

    2015-08-01

    Full Text Available The popularity of online social networks (OSNs is on constant rise due to various advantages, including online communication and sharing information of interest among friends. It is often that users want to make new friends to expand their social connections as well as to obtain information from a broad range of people. Friend recommendation is a very important application in many OSNs and has been studied extensively in the recent past. However,with the growing concerns about user privacy, there is a strong need to develop privacy-preserving friend recommendation methods for social networks. In this paper, we propose two novel methods to recommend friends for a given user by using the common neighbors proximity measure in a privacy-preserving manner. The first method is based on the properties of an additive homomorphic encryption scheme and also utilizes a universal hash function for efficiency purpose. The second method utilizes the concept of protecting the source privacy through anonymousmessage routing and recommends friends accurately and efficiently. In addition, we empirically compare the efficiency and accuracy of the proposed protocols, and address the implementation details of the two methods in practice. The proposed protocols provide a trade-off among security, accuracy, and efficiency; thus, users or the network provider can choose between these two protocols depending on the underlying requirements.

  17. Identifying the main paths of information diffusion in online social networks

    Science.gov (United States)

    Zhu, Hengmin; Yin, Xicheng; Ma, Jing; Hu, Wei

    2016-06-01

    Recently, an increasing number of researches on relationship strength show that there are some socially active links in online social networks. Furthermore, it is likely that there exist main paths which play the most significant role in the process of information diffusion. Although much of previous work has focused on the pathway of a specific event, there are hardly any scholars that have extracted the main paths. To identify the main paths of online social networks, we proposed a method which measures the weights of links based on historical interaction records. The influence of node based on forwarding amount is quantified and top-ranked nodes are selected as the influential users. The path importance is evaluated by calculating the probability that a message would spread via this path. We applied our method to a real-world network and found interesting insights. Each influential user can access another one via a short main path and the distribution of main paths shows significant community effect.

  18. Using the Internet, Online Social Networks and Potentially Incurred Risk: Student Opinions

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    Gintautė Žibėnienė

    2013-08-01

    Full Text Available Regulation of harmful content on the Internet is a soaring problem in the expansion of the information society, and it is being discussed in different European countries. Therefore, it is important to discuss the issue of being safe online: to do research on what children think about when using the Internet, threats experienced while online, to discuss ways of recognising and protecting children from online threats (such as cyber bullying, bullying, abuse, temptations with purpose of sexual harassment, leaking of personal information, spreading, harmful and illegal Internet content, etc.. The research objective of this paper is to present the opinion of gymnasium students on using the Internet, online social networks and likely experienced threats. The methodology—opinion research of the gymnasium students, which was carried out 17–21 December 2012; an analysis of professional target publications and a questionnaire survey were also applied. Analysis of the research findings was based on the analysis methods of quantity analysis (descriptive and analysis of quality content. Statistical findings were analysed applying the software “Statistical Package for the Social Sciences (SPSS 21.0 for Windows.” According to the research of student opinion, it was revealed that the most common student online activities are browsing of chat websites, exchange of videos and other material, viewing, listening and participating in social networks, whereas erotica and viewing of pornography are the rarest activities and are unimportant for students. Online social networks are especially popular among students, as most interviewed students (95.3% have their own profile in social networks. Students mostly visit social networks to communicate, to make friends (77.1% of respondents, however, every second student (60.7% visits them just to spend time, which can be assumed about the problems of students’ leisure time. The vast majority of students think that

  19. Efficacy of Online Social Networks on Language Teaching: A Bangladeshi Perspective

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    Shaila Shams

    2014-08-01

    Full Text Available It is now an established fact that the use of technology facilitates teaching and learning in language classrooms. With the advancement of technology, social networking websites have emerged too. Social networking sites have been quite popular among various age group users particularly the young users since their invention. Also, they are conceived to be able to motivate (Greenhow, Robelia, & Hughes, 2009 and expose learners to the authentic use of the target language (Baralt, 2011. However, very little research has been done, especially in Bangladesh, on how much these websites can contribute to language learning and teaching though they seem to offer ample opportunities. Therefore, this study aims at investigating the effect of using ‘The Facebook’, a social networking website, in language classrooms at tertiary level in Bangladesh. Participants of this study were first year first semester university students doing a foundation course in English focusing to improve their listening, speaking and writing skills. The participants were divided into two groups. Group 1 was the control group who was taught traditionally and non-digitally without using Facebook. Group 2, along with classroom teaching, received help from the instructor through Facebook and did tasks assigned on Facebook. At the end of the three months semester a test was taken and the result of both groups was compared. Thus, this study shall try to provide an answer regarding to what extent online social networks can facilitate second language acquisition.

  20. Interaction, Critical Thinking, and Social Network Analysis (SNA in Online Courses

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    Joan Thormann

    2013-07-01

    Full Text Available This study tried to ascertain a possible relationship between the number of student moderators (1, 2, and 3, online interactions, and critical thinking of K-12 educators enrolled in an online course that was taught from a constructivist approach. The course topic was use of technology in special education. Social network analysis (SNA and measures of critical thinking (Newman, Webb, & Cochrane, 1995 were used to research and assess if there was a difference in interaction and critical thinking between 1, 2, or 3 student moderators who facilitated a forum discussion of an assignment in an online course. The same course was repeated over three years. Each year either 1, 2, or 3 students moderated. The analysis indicated more discussion per non-moderating student with the three student moderated group. Using SNA we found that there was only one noticeable difference among the three groups which was in the value of network centralization. Using critical thinking measures the three student moderator group scored higher in five of the eight critical thinking categories. Variations in instructor presence in the online courses may have influenced these findings.

  1. Privacy and Online Social Networks: A Proposed Approach for Academic Librarians in University Libraries

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    Greg Hutton

    2010-11-01

    Full Text Available

    This paper analyzes the ways in which academic librarians in university settings can educate the staff, students, and public involved in the library community of both the risks and benefits of involvement in online social network sites such as Facebook. The concerns addressed range from maintaining users’ basic privacy and protecting themselves from physical and mental harm, to making users aware of how the information being shared on these sites may be used in newly emerging marketing practices. The paper recommends that academic librarians utilize social networking sites themselves in order to provide current, relevant information to the relevant parties in the university library community.

     

  2. An Introduction to Models of Online Peer-to-Peer Social Networking

    CERN Document Server

    Kesidis, George

    2010-01-01

    This book concerns peer-to-peer applications and mechanisms operating on the Internet, particularly those that are not fully automated and involve significant human interaction. So, the realm of interest is the intersection of distributed systems and online social networking. Generally, simple models are described to clarify the ideas. Beginning with short overviews of caching, graph theory and game theory, we cover the basic ideas of structured and unstructured search. We then describe a simple framework for reputations and for iterated referrals and consensus. This framework is applied to a

  3. Use of online social networking sites among pre-service information technology teachers

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    Elif Buğra Kuzu

    2013-12-01

    Full Text Available The current study aimed to investigate the current status and perceptions of pre-service information technology (IT teachers regarding the use of online social networking sites (SNSs. The investigation was further supported through participant feedback regarding the design and implementation of a blended learning environment to embrace online SNSs in instructional settings. The study had a qualitative nature and employed a focus group interview to collect data. Participants were ten fourth graders who were randomly selected from voluntary undergraduate students enrolled at an IT education department of a Turkish state university. Researchers resorted to content analysis through an inductive coding process, provided themes addressing student perceptions and needs, and proposed implications and suggestions for further instructional practices.

  4. Sharing data for public health research by members of an international online diabetes social network.

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    Elissa R Weitzman

    Full Text Available BACKGROUND: Surveillance and response to diabetes may be accelerated through engaging online diabetes social networks (SNs in consented research. We tested the willingness of an online diabetes community to share data for public health research by providing members with a privacy-preserving social networking software application for rapid temporal-geographic surveillance of glycemic control. METHODS AND FINDINGS: SN-mediated collection of cross-sectional, member-reported data from an international online diabetes SN entered into a software application we made available in a "Facebook-like" environment to enable reporting, charting and optional sharing of recent hemoglobin A1c values through a geographic display. Self-enrollment by 17% (n = 1,136 of n = 6,500 active members representing 32 countries and 50 US states. Data were current with 83.1% of most recent A1c values reported obtained within the past 90 days. Sharing was high with 81.4% of users permitting data donation to the community display. 34.1% of users also displayed their A1cs on their SN profile page. Users selecting the most permissive sharing options had a lower average A1c (6.8% than users not sharing with the community (7.1%, p = .038. 95% of users permitted re-contact. Unadjusted aggregate A1c reported by US users closely resembled aggregate 2007-2008 NHANES estimates (respectively, 6.9% and 6.9%, p = 0.85. CONCLUSIONS: Success within an early adopter community demonstrates that online SNs may comprise efficient platforms for bidirectional communication with and data acquisition from disease populations. Advancing this model for cohort and translational science and for use as a complementary surveillance approach will require understanding of inherent selection and publication (sharing biases in the data and a technology model that supports autonomy, anonymity and privacy.

  5. An Analysis of Density and Degree-Centrality According to the Social Networking Structure Formed in an Online Learning Environment

    Science.gov (United States)

    Ergün, Esin; Usluel, Yasemin Koçak

    2016-01-01

    In this study, we assessed the communication structure in an educational online learning environment using social network analysis (SNA). The communication structure was examined with respect to time, and instructor's participation. The course was implemented using ELGG, a network learning environment, blended with face-to-face sessions over a…

  6. Muslim Young People Online: “Acts of Citizenship” in Socially Networked Spaces

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    Amelia Johns

    2014-08-01

    Full Text Available This paper reviews the current literature regarding Muslim young people’s online social networking and participatory practices with the aim of examining whether these practices open up new spaces of civic engagement and political participation. The paper focuses on the experiences of young Muslims living in western societies, where, since September 11, the ability to assert claims as citizens in the public arena has diminished. The paper draws upon Isin & Nielsen’s (2008 “acts of citizenship” to define the online practices of many Muslim youth, for whom the internet provides a space where new performances of citizenship are enacted outside of formal citizenship rights and spaces of participation. These “acts" are evaluated in light of theories which articulate the changing nature of publics and the public sphere in a digital era. The paper will use this conceptual framework in conjunction with the literature review to explore whether virtual, online spaces offer young Muslims an opportunity to create a more inclusive discursive space to interact with co-citizens, engage with social and political issues and assert their citizen rights than is otherwise afforded by formal political structures; a need highlighted by policies which target minority Muslim young people for greater civic participation but which do not reflect the interests and values of Muslim young people.

  7. The relationship between online social networking and sexual risk behaviors among men who have sex with men (MSM.

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    Sean D Young

    Full Text Available Online social networking usage is growing rapidly, especially among at-risk populations, such as men who have sex with men (MSM. However, little research has studied the relationship between online social networking usage and sexual risk behaviors among at-risk populations. One hundred and eighteen Facebook-registered MSM (60.1% Latino, 28% African American; 11.9% other were recruited from online (social networking websites and banner advertisements and offline (local clinics, restaurants and organizations venues frequented by minority MSM. Inclusion criteria required participants to be men who were 18 years of age or older, had had sex with a man in the past 12 months, were living in Los Angeles, and had a Facebook account. Participants completed an online survey on their social media usage and sexual risk behaviors. Results from a multivariable regression suggest that number of sexual partners met from online social networking technologies is associated with increased: 1 likelihood of having exchanged sex for food, drugs, or a place to stay within the past 3 months; 2 number of new partners within the past 3 months; 3 number of male sex partners within the past 3 months; and 4 frequency of engaging in oral sex within the past 3 months, controlling for age, race, education, and total number of sexual partners. Understanding the relationship between social media sex-seeking and sexual risk behaviors among at-risk populations will help inform population-focused HIV prevention and treatment interventions.

  8. The relationship between online social networking and sexual risk behaviors among men who have sex with men (MSM).

    Science.gov (United States)

    Young, Sean D; Szekeres, Greg; Coates, Thomas

    2013-01-01

    Online social networking usage is growing rapidly, especially among at-risk populations, such as men who have sex with men (MSM). However, little research has studied the relationship between online social networking usage and sexual risk behaviors among at-risk populations. One hundred and eighteen Facebook-registered MSM (60.1% Latino, 28% African American; 11.9% other) were recruited from online (social networking websites and banner advertisements) and offline (local clinics, restaurants and organizations) venues frequented by minority MSM. Inclusion criteria required participants to be men who were 18 years of age or older, had had sex with a man in the past 12 months, were living in Los Angeles, and had a Facebook account. Participants completed an online survey on their social media usage and sexual risk behaviors. Results from a multivariable regression suggest that number of sexual partners met from online social networking technologies is associated with increased: 1) likelihood of having exchanged sex for food, drugs, or a place to stay within the past 3 months; 2) number of new partners within the past 3 months; 3) number of male sex partners within the past 3 months; and 4) frequency of engaging in oral sex within the past 3 months, controlling for age, race, education, and total number of sexual partners. Understanding the relationship between social media sex-seeking and sexual risk behaviors among at-risk populations will help inform population-focused HIV prevention and treatment interventions.

  9. Development and Analyses of Privacy Management Models in Online Social Networks Based on Communication Privacy Management Theory

    Science.gov (United States)

    Lee, Ki Jung

    2013-01-01

    Online social networks (OSNs), while serving as an emerging means of communication, promote various issues of privacy. Users of OSNs encounter diverse occasions that lead to invasion of their privacy, e.g., published conversation, public revelation of their personally identifiable information, and open boundary of distinct social groups within…

  10. Online social networking in adolescence: patterns of use in six European countries and links with psychosocial functioning.

    NARCIS (Netherlands)

    Tsitsika, A.K.; Tzavela, E.C.; Janikian, M.; Olafsson, K.; Iordache, A.; Schoenmakers, T.M.; Tzavara, C.; Richardson, C.

    2014-01-01

    Purpose: Online communication tools, such as social networking sites (SNS), have been comprehensively embraced by adolescents and have become a dominant daily social practice. Recognizing SNS as a key context of adolescent development, this study aimed to investigate associations between heavier SNS

  11. Development and Analyses of Privacy Management Models in Online Social Networks Based on Communication Privacy Management Theory

    Science.gov (United States)

    Lee, Ki Jung

    2013-01-01

    Online social networks (OSNs), while serving as an emerging means of communication, promote various issues of privacy. Users of OSNs encounter diverse occasions that lead to invasion of their privacy, e.g., published conversation, public revelation of their personally identifiable information, and open boundary of distinct social groups within…

  12. The research of development dynamics of electronic social networks for the effective advertisement of online shops in the segment of Ukrainian network business

    Directory of Open Access Journals (Sweden)

    O.I. Grabar

    2015-09-01

    Full Text Available The article presents the research results of development dynamics of the Ukrainian segment of different social networks in the global network. The general methods of creation and development of online shop are described. The methods of creation and development of marketing communications for online shops and their influence on the development of electronic business in Ukraine are presented. The article gives the detailed analysis of statistical data on age & gender related distribution of the Ukrainian segment of the biggest world social networks. The author also introduces new instruments for marketing communications worked out by every social network. The basic principles of advertisement campaign realization for online shops with the use of target audience of certain groups in social networks are generalized.

  13. Ethical considerations when employing fake identities in online social networks for research.

    Science.gov (United States)

    Elovici, Yuval; Fire, Michael; Herzberg, Amir; Shulman, Haya

    2014-12-01

    Online social networks (OSNs) have rapidly become a prominent and widely used service, offering a wealth of personal and sensitive information with significant security and privacy implications. Hence, OSNs are also an important--and popular--subject for research. To perform research based on real-life evidence, however, researchers may need to access OSN data, such as texts and files uploaded by users and connections among users. This raises significant ethical problems. Currently, there are no clear ethical guidelines, and researchers may end up (unintentionally) performing ethically questionable research, sometimes even when more ethical research alternatives exist. For example, several studies have employed "fake identities" to collect data from OSNs, but fake identities may be used for attacks and are considered a security issue. Is it legitimate to use fake identities for studying OSNs or for collecting OSN data for research? We present a taxonomy of the ethical challenges facing researchers of OSNs and compare different approaches. We demonstrate how ethical considerations have been taken into account in previous studies that used fake identities. In addition, several possible approaches are offered to reduce or avoid ethical misconducts. We hope this work will stimulate the development and use of ethical practices and methods in the research of online social networks.

  14. Analyzing the Impact of Storage Shortage on Data Availability in Decentralized Online Social Networks

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    Songling Fu

    2014-01-01

    Full Text Available Maintaining data availability is one of the biggest challenges in decentralized online social networks (DOSNs. The existing work often assumes that the friends of a user can always contribute to the sufficient storage capacity to store all data. However, this assumption is not always true in today’s online social networks (OSNs due to the fact that nowadays the users often use the smart mobile devices to access the OSNs. The limitation of the storage capacity in mobile devices may jeopardize the data availability. Therefore, it is desired to know the relation between the storage capacity contributed by the OSN users and the level of data availability that the OSNs can achieve. This paper addresses this issue. In this paper, the data availability model over storage capacity is established. Further, a novel method is proposed to predict the data availability on the fly. Extensive simulation experiments have been conducted to evaluate the effectiveness of the data availability model and the on-the-fly prediction.

  15. Analyzing the Impact of Storage Shortage on Data Availability in Decentralized Online Social Networks

    Science.gov (United States)

    He, Ligang; Liao, Xiangke; Huang, Chenlin

    2014-01-01

    Maintaining data availability is one of the biggest challenges in decentralized online social networks (DOSNs). The existing work often assumes that the friends of a user can always contribute to the sufficient storage capacity to store all data. However, this assumption is not always true in today's online social networks (OSNs) due to the fact that nowadays the users often use the smart mobile devices to access the OSNs. The limitation of the storage capacity in mobile devices may jeopardize the data availability. Therefore, it is desired to know the relation between the storage capacity contributed by the OSN users and the level of data availability that the OSNs can achieve. This paper addresses this issue. In this paper, the data availability model over storage capacity is established. Further, a novel method is proposed to predict the data availability on the fly. Extensive simulation experiments have been conducted to evaluate the effectiveness of the data availability model and the on-the-fly prediction. PMID:24892095

  16. Support or competition? How online social networks increase physical activity: A randomized controlled trial

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    Jingwen Zhang, PhD

    2016-12-01

    Full Text Available To identify what features of online social networks can increase physical activity, we conducted a 4-arm randomized controlled trial in 2014 in Philadelphia, PA. Students (n = 790, mean age = 25.2 at an university were randomly assigned to one of four conditions composed of either supportive or competitive relationships and either with individual or team incentives for attending exercise classes. The social comparison condition placed participants into 6-person competitive networks with individual incentives. The social support condition placed participants into 6-person teams with team incentives. The combined condition with both supportive and competitive relationships placed participants into 6-person teams, where participants could compare their team's performance to 5 other teams' performances. The control condition only allowed participants to attend classes with individual incentives. Rewards were based on the total number of classes attended by an individual, or the average number of classes attended by the members of a team. The outcome was the number of classes that participants attended. Data were analyzed using multilevel models in 2014. The mean attendance numbers per week were 35.7, 38.5, 20.3, and 16.8 in the social comparison, the combined, the control, and the social support conditions. Attendance numbers were 90% higher in the social comparison and the combined conditions (mean = 1.9, SE = 0.2 in contrast to the two conditions without comparison (mean = 1.0, SE = 0.2 (p = 0.003. Social comparison was more effective for increasing physical activity than social support and its effects did not depend on individual or team incentives.

  17. Support or competition? How online social networks increase physical activity: A randomized controlled trial.

    Science.gov (United States)

    Zhang, Jingwen; Brackbill, Devon; Yang, Sijia; Becker, Joshua; Herbert, Natalie; Centola, Damon

    2016-12-01

    To identify what features of online social networks can increase physical activity, we conducted a 4-arm randomized controlled trial in 2014 in Philadelphia, PA. Students (n = 790, mean age = 25.2) at an university were randomly assigned to one of four conditions composed of either supportive or competitive relationships and either with individual or team incentives for attending exercise classes. The social comparison condition placed participants into 6-person competitive networks with individual incentives. The social support condition placed participants into 6-person teams with team incentives. The combined condition with both supportive and competitive relationships placed participants into 6-person teams, where participants could compare their team's performance to 5 other teams' performances. The control condition only allowed participants to attend classes with individual incentives. Rewards were based on the total number of classes attended by an individual, or the average number of classes attended by the members of a team. The outcome was the number of classes that participants attended. Data were analyzed using multilevel models in 2014. The mean attendance numbers per week were 35.7, 38.5, 20.3, and 16.8 in the social comparison, the combined, the control, and the social support conditions. Attendance numbers were 90% higher in the social comparison and the combined conditions (mean = 1.9, SE = 0.2) in contrast to the two conditions without comparison (mean = 1.0, SE = 0.2) (p = 0.003). Social comparison was more effective for increasing physical activity than social support and its effects did not depend on individual or team incentives.

  18. Qualities and Inequalities in Online Social Networks through the Lens of the Generalized Friendship Paradox.

    Science.gov (United States)

    Momeni, Naghmeh; Rabbat, Michael

    2016-01-01

    The friendship paradox is the phenomenon that in social networks, people on average have fewer friends than their friends do. The generalized friendship paradox is an extension to attributes other than the number of friends. The friendship paradox and its generalized version have gathered recent attention due to the information they provide about network structure and local inequalities. In this paper, we propose several measures of nodal qualities which capture different aspects of their activities and influence in online social networks. Using these measures we analyse the prevalence of the generalized friendship paradox over Twitter and we report high levels of prevalence (up to over 90% of nodes). We contend that this prevalence of the friendship paradox and its generalized version arise because of the hierarchical nature of the connections in the network. This hierarchy is nested as opposed to being star-like. We conclude that these paradoxes are collective phenomena not created merely by a minority of well-connected or high-attribute nodes. Moreover, our results show that a large fraction of individuals can experience the generalized friendship paradox even in the absence of a significant correlation between degrees and attributes.

  19. Online social networking sites-a novel setting for health promotion?

    Science.gov (United States)

    Loss, Julika; Lindacher, Verena; Curbach, Janina

    2014-03-01

    Among adolescents, online social networking sites (SNS) such as Facebook are popular platforms for social interaction and may therefore be considered as 'novel settings' that could be exploited for health promotion. In this article, we examine the relevant definitions in health promotion and literature in order to analyze whether key characteristics of 'settings for health promotion' and the socio-ecological settings approach can be transferred to SNS. As many of our daily activities have shifted to cyberspace, we argue that online social interaction may gain more importance than geographic closeness for defining a 'setting'. While exposition to positive references to risk behavior by peers may render the SNS environment detrimental to health, SNS may allow people to create their own content and therefore foster participation. However, those health promotion projects delivered on SNS up until today solely relied on health education directed at end users. It remains unclear how health promotion on SNS can meet other requirements of the settings approach (e.g. building partnerships, changing the environment). As yet, one should be cautious in terming SNS a 'setting'. Copyright © 2013 Elsevier Ltd. All rights reserved.

  20. Political campaigning 2.0: The influence of online news and social networking sites on attitudes and behavior

    Directory of Open Access Journals (Sweden)

    Montathar Faraon

    2014-11-01

    Full Text Available This study aimed to examine differences in influence between online news (e.g., New York Times and social networking sites (e.g., Facebook and Twitter on attitudes in political campaigns. In a web-based experiment, campaign, polls and election between two fictitious candidates were simulated. Participants’ explicit and implicit attitudes as well as voting behavior were assessed using self-report items and the Implicit Association Test (IAT. The results reveal that information emanating from online news had a significant influence on explicit and implicit attitudes while that of social networking sites did not. Overall, negative items had a stronger impact than positive ones, more so in online news compared to social networking sites. Negative information from either type of media was more likely to change participants’ explicit attitudes in a negative direction and as a consequence also change their vote. Practical implications of the findings and limitations of the study are discussed.

  1. Social Network Analysis of Elders' Health Literacy and their Use of Online Health Information.

    Science.gov (United States)

    Jang, Haeran; An, Ji-Young

    2014-07-01

    Utilizing social network analysis, this study aimed to analyze the main keywords in the literature regarding the health literacy of and the use of online health information by aged persons over 65. Medical Subject Heading keywords were extracted from articles on the PubMed database of the National Library of Medicine. For health literacy, 110 articles out of 361 were initially extracted. Seventy-one keywords out of 1,021 were finally selected after removing repeated keywords and applying pruning. Regarding the use of online health information, 19 articles out of 26 were selected. One hundred forty-four keywords were initially extracted. After removing the repeated keywords, 74 keywords were finally selected. Health literacy was found to be strongly connected with 'Health knowledge, attitudes, practices' and 'Patient education as topic.' 'Computer literacy' had strong connections with 'Internet' and 'Attitude towards computers.' 'Computer literacy' was connected to 'Health literacy,' and was studied according to the parameters 'Attitude towards health' and 'Patient education as topic.' The use of online health information was strongly connected with 'Health knowledge, attitudes, practices,' 'Consumer health information,' 'Patient education as topic,' etc. In the network, 'Computer literacy' was connected with 'Health education,' 'Patient satisfaction,' 'Self-efficacy,' 'Attitude to computer,' etc. Research on older citizens' health literacy and their use of online health information was conducted together with study of computer literacy, patient education, attitude towards health, health education, patient satisfaction, etc. In particular, self-efficacy was noted as an important keyword. Further research should be conducted to identify the effective outcomes of self-efficacy in the area of interest.

  2. PRIVATUMAS VIRTUALIUOSE SOCIALINIUOSE TINKLUOSE KAIP ĮSTATYMO SAUGOMA VERTYBĖ / PRIVACY IN ONLINE SOCIAL NETWORKS AS LEGALLY PROTECTED VALUE

    Directory of Open Access Journals (Sweden)

    Inga Malinauskaitė

    2015-07-01

    Full Text Available Purpose – to analyze the privacy as legally protected value phenomena in online social networks. Design/methodology/approach – in order to achieve the above mentioned purpose, the author introduces the history of the right to privacy, the distinction between privacy and data protection, describes the limits of the right of the protection of privacy, specifically referring to the protection of privacy in online social networks. The author uses the following methods: analysis of the scientific literature, examination of legislation, study of actual court decisions and comparison of US and European approaches to the protection of privacy. Findings – the main findings of the article include the reflection of a constantly developing conception of privacy, the different continental approaches into the protection of privacy, the inevitable distinction between public and private information and characterization of the fundamental elements of privacy. Research limitations/implications – the research mainly focuses on the examination of legal values in assessing the protection of privacy in online social networks and does not include any psychological, sociological and ethical aspects of the phenomena. Practical implications – the research analyses the key elements in defining privacy value, which might be practically used by the legislative bodies, as well as the each consumer and end-user of the online social network. Originality/Value – the article reveals quit new, currently actual and little researched area in privacy studies – the legally protected key elements of the privacy in online social networks. Keywords: privacy, online social networks, legislation requirements. Research type: research paper, viewpoint, literature review.

  3. Structural and dynamical patterns on online social networks: the Spanish May 15th movement as a case study.

    Directory of Open Access Journals (Sweden)

    Javier Borge-Holthoefer

    Full Text Available The number of people using online social networks in their everyday life is continuously growing at a pace never saw before. This new kind of communication has an enormous impact on opinions, cultural trends, information spreading and even in the commercial success of new products. More importantly, social online networks have revealed as a fundamental organizing mechanism in recent country-wide social movements. In this paper, we provide a quantitative analysis of the structural and dynamical patterns emerging from the activity of an online social network around the ongoing May 15th (15M movement in Spain. Our network is made up by users that exchanged tweets in a time period of one month, which includes the birth and stabilization of the 15M movement. We characterize in depth the growth of such dynamical network and find that it is scale-free with communities at the mesoscale. We also find that its dynamics exhibits typical features of critical systems such as robustness and power-law distributions for several quantities. Remarkably, we report that the patterns characterizing the spreading dynamics are asymmetric, giving rise to a clear distinction between information sources and sinks. Our study represents a first step towards the use of data from online social media to comprehend modern societal dynamics.

  4. Subtle role of latency for information diffusion in online social networks

    Science.gov (United States)

    Xiong, Fei; Wang, Xi-Meng; Cheng, Jun-Jun

    2016-10-01

    Information diffusion in online social networks is induced by the event of forwarding information for users, and latency exists widely in user spreading behaviors. Little work has been done to reveal the effect of latency on the diffusion process. In this paper, we propose a propagation model in which nodes may suspend their spreading actions for a waiting period of stochastic length. These latent nodes may recover their activity again. Meanwhile, the mechanism of forwarding information is also introduced into the diffusion model. Mean-field analysis and numerical simulations indicate that our model has three nontrivial results. First, the spreading threshold does not correlate with latency in neither homogeneous nor heterogeneous networks, but depends on the spreading and refractory parameter. Furthermore, latency affects the diffusion process and changes the infection scale. A large or small latency parameter leads to a larger final diffusion extent, but the intrinsic dynamics is different. Large latency implies forwarding information rapidly, while small latency prevents nodes from dropping out of interactions. In addition, the betweenness is a better descriptor to identify influential nodes in the model with latency, compared with the coreness and degree. These results are helpful in understanding some collective phenomena of the diffusion process and taking measures to restrain a rumor in social networks. Project supported by the National Natural Science Foundation of China (Grant Nos. 61401015 and 61271308), the Fundamental Research Funds for the Central Universities, China (Grant No. 2014JBM018), and the Talent Fund of Beijing Jiaotong University, China (Grant No. 2015RC013).

  5. Actual versus perceived peer sexual risk behavior in online youth social networks.

    Science.gov (United States)

    Black, Sandra R; Schmiege, Sarah; Bull, Sheana

    2013-09-01

    Perception of peer behaviors is an important predictor of actual risk behaviors among youth. However, we lack understanding of peer influence through social media and of actual and perceived peer behavior concordance. The purpose of this research is to document the relationship between individual perception of and actual peer sexual risk behavior using online social networks. The data are a result of a secondary analysis of baseline self-reported and peer-reported sexual risk behavior from a cluster randomized trial including 1,029 persons from 162 virtual networks. Individuals (seeds) recruited up to three friends who then recruited additional friends, extending three waves from the seed. ANOVA models compared network means of actual participant behavior across categories of perceived behavior. Concordance varied between reported and perceived behavior, with higher concordance between perceived and reported condom use, multiple partners, concurrent partners, sexual pressure, and drug and alcohol use during sex. Individuals significantly over-reported risk and under-reported protective peer behaviors related to sex.

  6. Learning from Your Network of Friends: A Trajectory Representation Learning Model Based on Online Social Ties

    KAUST Repository

    Alharbi, Basma Mohammed

    2017-02-07

    Location-Based Social Networks (LBSNs) capture individuals whereabouts for a large portion of the population. To utilize this data for user (location)-similarity based tasks, one must map the raw data into a low-dimensional uniform feature space. However, due to the nature of LBSNs, many users have sparse and incomplete check-ins. In this work, we propose to overcome this issue by leveraging the network of friends, when learning the new feature space. We first analyze the impact of friends on individuals\\'s mobility, and show that individuals trajectories are correlated with thoseof their friends and friends of friends (2-hop friends) in an online setting. Based on our observation, we propose a mixed-membership model that infers global mobility patterns from users\\' check-ins and their network of friends, without impairing the model\\'s complexity. Our proposed model infers global patterns and learns new representations for both usersand locations simultaneously. We evaluate the inferred patterns and compare the quality of the new user representation against baseline methods on a social link prediction problem.

  7. Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method

    Science.gov (United States)

    Al-garadi, Mohammed Ali; Varathan, Kasturi Dewi; Ravana, Sri Devi

    2017-02-01

    Online social networks (OSNs) have become a vital part of everyday living. OSNs provide researchers and scientists with unique prospects to comprehend individuals on a scale and to analyze human behavioral patterns. Influential spreaders identification is an important subject in understanding the dynamics of information diffusion in OSNs. Targeting these influential spreaders is significant in planning the techniques for accelerating the propagation of information that is useful for various applications, such as viral marketing applications or blocking the diffusion of annoying information (spreading of viruses, rumors, online negative behaviors, and cyberbullying). Existing K-core decomposition methods consider links equally when calculating the influential spreaders for unweighted networks. Alternatively, the proposed link weights are based only on the degree of nodes. Thus, if a node is linked to high-degree nodes, then this node will receive high weight and is treated as an important node. Conversely, the degree of nodes in OSN context does not always provide accurate influence of users. In the present study, we improve the K-core method for OSNs by proposing a novel link-weighting method based on the interaction among users. The proposed method is based on the observation that the interaction of users is a significant factor in quantifying the spreading capability of user in OSNs. The tracking of diffusion links in the real spreading dynamics of information verifies the effectiveness of our proposed method for identifying influential spreaders in OSNs as compared with degree centrality, PageRank, and original K-core.

  8. User-Centric Secure Cross-Site Interaction Framework for Online Social Networking Services

    Science.gov (United States)

    Ko, Moo Nam

    2011-01-01

    Social networking service is one of major technological phenomena on Web 2.0. Hundreds of millions of users are posting message, photos, and videos on their profiles and interacting with other users, but the sharing and interaction are limited within the same social networking site. Although users can share some content on a social networking site…

  9. Discovering the influential users oriented to viral marketing based on online social networks

    Science.gov (United States)

    Zhu, Zhiguo

    2013-08-01

    The target of viral marketing on the platform of popular online social networks is to rapidly propagate marketing information at lower cost and increase sales, in which a key problem is how to precisely discover the most influential users in the process of information diffusion. A novel method is proposed in this paper for helping companies to identify such users as seeds to maximize information diffusion in the viral marketing. Firstly, the user trust network oriented to viral marketing and users’ combined interest degree in the network including isolated users are extensively defined. Next, we construct a model considering the time factor to simulate the process of information diffusion in viral marketing and propose a dynamic algorithm description. Finally, experiments are conducted with a real dataset extracted from the famous SNS website Epinions. The experimental results indicate that the proposed algorithm has better scalability and is less time-consuming. Compared with the classical model, the proposed algorithm achieved a better performance than does the classical method on the two aspects of network coverage rate and time-consumption in our four sub-datasets.

  10. Motives for Online Friending and Following: The Dark Side of Social Network Site Connections

    Directory of Open Access Journals (Sweden)

    Jaap W. Ouwerkerk

    2016-08-01

    Full Text Available Motives for “friending,” following, or connecting with others on social network sites are often positive, but darker motives may also play an important role. A survey with a novel Following Motives Scale (FMS demonstrates accordingly that positive, sociable motives (i.e., others providing a valued source for humor and information, others sharing a common background, as well as relationship maintenance and inspirational motives (i.e., others providing a target for upward social comparison can be distinguished from darker motives related to insecurity (i.e., others providing reassurance, preference for online interaction, mediated voyeurism, as well as social obligation, and even darker antisocial motives related to self-enhancement (i.e., others providing a target for downward social comparison, competition, schadenfreude, gossip, as well as “hate-following”. Results show that lower self-esteem and higher levels of need for popularity, narcissism, and dispositional schadenfreude characterize users with stronger dark side motives, whereas users with more sociable motives report more satisfaction with life, thereby providing construct validity for the novel scale. Convergent validity is demonstrated by positive relations between following motives and both time spent and following counts on different social network sites. Moreover, an embedded experiment shows that antisocial motives predicted acceptance of a Facebook friendship request from a male or female high school acquaintance who suffered a setback in the domain of appearance or status (i.e., a convenient source for self-enhancement, thereby providing additional convergent validity for the Antisocial Motives subscale.

  11. The patient-doctor relationship and online social networks: results of a national survey.

    Science.gov (United States)

    Bosslet, Gabriel T; Torke, Alexia M; Hickman, Susan E; Terry, Colin L; Helft, Paul R

    2011-10-01

    The use of online social networks (OSNs) among physicians and physicians-in-training, the extent of patient-doctor interactions within OSNs, and attitudes among these groups toward use of OSNs is not well described. To quantify the use of OSNs, patient interactions within OSNs, and attitudes toward OSNs among medical students (MS), resident physicians (RP), and practicing physicians (PP) in the United States. A random, stratified mail survey was sent to 1004 MS, 1004 RP, and 1004 PP between February and May 2010. Percentage of respondents reporting OSN use, the nature and frequency of use; percentage of respondents reporting friend requests by patients or patients' family members, frequency of these requests, and whether or not they were accepted; attitudes toward physician use of OSNs and online patient interactions. The overall response rate was 16.0% (19.8% MS, 14.3% RP, 14.1% PP). 93.5% of MS, 79.4% of RP, and 41.6% of PP reported usage of OSNs. PP were more likely to report having visited the profile of a patient or patient's family member (MS 2.3%, RP 3.9%, PP 15.5%), and were more likely to have received friend requests from patients or their family members (MS 1.2%, RP 7.8%, PP 34.5%). A majority did not think it ethically acceptable to interact with patients within OSNs for either social (68.3%) or patient-care (68.0%) reasons. Almost half of respondents (48.7%) were pessimistic about the potential for OSNs to improve patient-doctor communication, and a majority (79%) expressed concerns about maintaining patient confidentiality. Personal OSN use among physicians and physicians-in-training mirrors that of the general population. Patient-doctor interactions take place within OSNs, and are more typically initiated by patients than by physicians or physicians-in-training. A majority of respondents view these online interactions as ethically problematic.

  12. SMEs Going Global: A Comparison of the Internationalization Strategies of Publishers and Online Social Networks

    Directory of Open Access Journals (Sweden)

    Bettina Lis

    2012-01-01

    Full Text Available Up to now, most research has been conducted on the internationalization strategies of large media companies and groups. But tapping new foreign markets is also relevant to small- and medium-sized enterprises (SMEs of all media sectors. This paper therefore focuses on the internationalization strategies of different types of media SMEs. It aims at describing and comparing the motives for becoming an international player as well as the specific market selection, market entry, and market development strategies. Furthermore, it focuses on the main organizational implications. On the basis of a multiple-case design we compare two German regional newspaper publishers with two German special interest publishers and two online social business networks. Results show similarities and differences between these media sectors according to the nature of the media businesses. The cases also highlight the importance of international management skills also in the context of SMEs.

  13. A conceptual model for analysing informal learning in online social networks for health professionals.

    Science.gov (United States)

    Li, Xin; Gray, Kathleen; Chang, Shanton; Elliott, Kristine; Barnett, Stephen

    2014-01-01

    Online social networking (OSN) provides a new way for health professionals to communicate, collaborate and share ideas with each other for informal learning on a massive scale. It has important implications for ongoing efforts to support Continuing Professional Development (CPD) in the health professions. However, the challenge of analysing the data generated in OSNs makes it difficult to understand whether and how they are useful for CPD. This paper presents a conceptual model for using mixed methods to study data from OSNs to examine the efficacy of OSN in supporting informal learning of health professionals. It is expected that using this model with the dataset generated in OSNs for informal learning will produce new and important insights into how well this innovation in CPD is serving professionals and the healthcare system.

  14. Classification of Messages in online social network using short text classifier

    Directory of Open Access Journals (Sweden)

    M. SriVidhya

    2014-09-01

    Full Text Available At present Online Social Networks (OSN not provide much support to the user for message filtering. To rectify this issue, a work is proposed which allows OSN users to have a direct control on the messages posted on their walls. Here the users can control the messages posted on their own private space to avoid unwanted messages displayed and they can also block their friend from friends list. A new Global Vector Space Model (GVSM is used here in text representation and pattern search based classifier is introduced for these OSNs which automatically labels messages in support of content-based filtering. The evaluation result shows the best performance of this study for message filtering in OSN, to customize the user walls and their profiles. Efficiency of this study is proved by the results of accuracy and elapsed time interval.

  15. Engineering online and in-person social networks to sustain physical activity: application of a conceptual model.

    Science.gov (United States)

    Rovniak, Liza S; Sallis, James F; Kraschnewski, Jennifer L; Sciamanna, Christopher N; Kiser, Elizabeth J; Ray, Chester A; Chinchilli, Vernon M; Ding, Ding; Matthews, Stephen A; Bopp, Melissa; George, Daniel R; Hovell, Melbourne F

    2013-08-14

    High rates of physical inactivity compromise the health status of populations globally. Social networks have been shown to influence physical activity (PA), but little is known about how best to engineer social networks to sustain PA. To improve procedures for building networks that shape PA as a normative behavior, there is a need for more specific hypotheses about how social variables influence PA. There is also a need to integrate concepts from network science with ecological concepts that often guide the design of in-person and electronically-mediated interventions. Therefore, this paper: (1) proposes a conceptual model that integrates principles from network science and ecology across in-person and electronically-mediated intervention modes; and (2) illustrates the application of this model to the design and evaluation of a social network intervention for PA. A conceptual model for engineering social networks was developed based on a scoping literature review of modifiable social influences on PA. The model guided the design of a cluster randomized controlled trial in which 308 sedentary adults were randomly assigned to three groups: WalkLink+: prompted and provided feedback on participants' online and in-person social-network interactions to expand networks for PA, plus provided evidence-based online walking program and weekly walking tips; WalkLink: evidence-based online walking program and weekly tips only; Minimal Treatment Control: weekly tips only. The effects of these treatment conditions were assessed at baseline, post-program, and 6-month follow-up. The primary outcome was accelerometer-measured PA. Secondary outcomes included objectively-measured aerobic fitness, body mass index, waist circumference, blood pressure, and neighborhood walkability; and self-reported measures of the physical environment, social network environment, and social network interactions. The differential effects of the three treatment conditions on primary and secondary

  16. Online social networking addiction among college students in Singapore: Comorbidity with behavioral addiction and affective disorder.

    Science.gov (United States)

    Tang, Catherine So-Kum; Koh, Yvaine Yee Woen

    2017-02-01

    This study aimed to determine the prevalence of addiction to social networking sites/platforms (SNS) and its comorbidity with other behavioral addiction and affective disorder among college students in Singapore. 1110 college students (age: M=21.46, SD=1.80) in Singapore completed measures assessing online social networking, unhealthy food intake and shopping addiction as well as depression, anxiety and mania. Descriptive analyses were conducted to investigate the prevalence and comorbidity of behavioral addiction and affective disorder. Chi-square tests were used to examine gender differences. The prevalence rates of SNS, food and shopping addiction were 29.5%, 4.7% and 9.3% respectively for the total sample. SNS addiction was found to co-occur with food addiction (3%), shopping addiction (5%), and both food and shopping addiction (1%). The comorbidity rates of SNS addiction and affective disorder were 21% for depression, 27.7% for anxiety, and 26.1% for mania. Compared with the total sample, students with SNS addiction reported higher comorbidity rates with other behavioral addiction and affective disorder. In general, females as compared to males reported higher comorbidity rates of SNS addiction and affective disorder. SNS addiction has a high prevalence rate among college students in Singapore. Students with SNS addiction were vulnerable to experience other behavior addiction as well as affective disorder, especially among females. Copyright © 2016. Published by Elsevier B.V.

  17. Culture, Role and Group Work: A Social Network Analysis Perspective on an Online Collaborative Course

    Science.gov (United States)

    Stepanyan, Karen; Mather, Richard; Dalrymple, Roger

    2014-01-01

    This paper discusses the patterns of network dynamics within a multicultural online collaborative learning environment. It analyses the interaction of participants (both students and facilitators) within a discussion board that was established as part of a 3-month online collaborative course. The study employs longitudinal probabilistic social…

  18. Culture, Role and Group Work: A Social Network Analysis Perspective on an Online Collaborative Course

    Science.gov (United States)

    Stepanyan, Karen; Mather, Richard; Dalrymple, Roger

    2014-01-01

    This paper discusses the patterns of network dynamics within a multicultural online collaborative learning environment. It analyses the interaction of participants (both students and facilitators) within a discussion board that was established as part of a 3-month online collaborative course. The study employs longitudinal probabilistic social…

  19. Online identity: constructing interpersonal trust and openness through participating in hospitality social networks

    Directory of Open Access Journals (Sweden)

    Alexander Ronzhyn

    2013-06-01

    Full Text Available The present article describes the results of research on online identity construction during the participation in the hospitality social networks. Specifically the user references are analysed to understand patterns that form the image of a member. CouchSurfing service (couchsurfing.org allows users to leave short texts where the experience of hosting/being hosted by a CS member is described, is an evaluation of the CS members of each other’s personal traits, skills and common experience. Therefore references can become a good instrument for portraying a CouchSurfing member and understanding his or her particular traits. References form an important part of a user’s virtual identity in the network. Using a sample of references of Spanish CouchSurfing users, the research established main characteristics of the references, which are the openness, readiness to share ideas and experiences and trustworthiness. These concepts illustrate the typical traits associated with a user of the network and also shed light on the activities common during offl ine CS meetings

  20. Modeling individual and collective opinion in online social networks: drivers of choice behavior and effects of marketing interventions

    NARCIS (Netherlands)

    Koster, S.E.; Langley, D.J.

    2013-01-01

    We investigate factors influencing choice behavior in online social networks. We use twitter data from a Dutch television talent show. In study one, we implement a nested conditional logit model with latent classes. We find heterogeneous effects. For two latent classes, cognitive factors most strong

  1. ProofBook: An Online Social Network Based on Proof-of-Work and Friend-Propagation

    NARCIS (Netherlands)

    Biedermann, Sebastian; Karvelas, Nikolaos P.; Katzenbeisser, Stefan; Strufe, Thorsten; Peter, Andreas

    2014-01-01

    Online Social Networks (OSNs) enjoy high popularity, but their centralized architectures lead to intransparency and mistrust in the providers who can be the single point of failure. A solution is to adapt the OSN functionality to an underlying and fully distributed peer-to-peer (P2P) substrate.

  2. Analysis of Infectious-Recovery Epidemic Models for Membership Dynamics of Online Social Networks

    CERN Document Server

    Cooney, Daniel; Bar-Yam, Yaneer

    2016-01-01

    The recent rapid growth of social media and online social networks (OSNs) has raised interesting questions about the spread of ideas and fads within our society. In the past year, several papers have drawn analogies between the rise and fall in popularity of OSNs and mathematical models used to study infectious disease. One such model, the irSIR model, made use of the idea of "infectious recovery" to outperform the traditional SIR model in replicating the rise and fall of MySpace and to predict a rapid drop in the popularity of Facebook. Here we explore the irSIR model and two of its logical extensions and we mathematically characterize the initial and long-run behavior of these dynamical systems. In particular, while the original irSIR model always predicts extinction of a social epidemic, we construct an extension of the model that matches the exponential growth phase of the irSIR model while allowing for the possibility of an arbitrary proportion of infections in the long run.

  3. Predicting Social Networking Site Use and Online Communication Practices among Adolescents: The Role of Access and Device Ownership

    Directory of Open Access Journals (Sweden)

    Drew P. Cingel

    2014-06-01

    Full Text Available Given adolescents' heavy social media use, this study examined a number of predictors of adolescent social media use, as well as predictors of online communication practices. Using data collected from a national sample of 467 adolescents between the ages of 13 and 17, results indicate that demographics, technology access, and technology ownership are related to social media use and communication practices. Specifically, females log onto and use more constructive com-munication practices on Facebook compared to males. Additionally, adolescents who own smartphones engage in more constructive online communication practices than those who share regular cell phones or those who do not have access to a cell phone. Overall, results imply that ownership of mobile technologies, such as smartphones and iPads, may be more predictive of social networking site use and online communication practices than general ownership of technology.

  4. Predicting Social Networking Site Use and Online Communication Practices among Adolescents: The Role of Access and Device Ownership

    Directory of Open Access Journals (Sweden)

    Drew P. Cingel

    2014-01-01

    Full Text Available Given adolescents' heavy social media use, this study examined a number of predictors of adolescent social media use, as well as predictors of online communication practices. Using data collected from a national sample of 467 adolescents between the ages of 13 and 17, results indicate that demographics, technology access, and technology ownership are related to social media use and communication practices. Specifically, females log onto and use more constructive communication practices on Facebook compared to males. Additionally, adolescents who own smartphones engage in more constructive online communication practices than those who share regular cell phones or those who do not have access to a cell phone. Overall, results imply that ownership of mobile technologies, such as smartphones and iPads, may be more predictive of social networking site use and online communication practices than general ownership of technology.

  5. The ART of social networking: how SART member clinics are connecting with patients online.

    Science.gov (United States)

    Omurtag, Kenan; Jimenez, Patricia T; Ratts, Valerie; Odem, Randall; Cooper, Amber R

    2012-01-01

    To study and describe the use of social networking websites among Society for Assisted Reproductive Technology (SART) member clinics. Cross-sectional study. University-based practice. Not applicable. Not applicable. Prevalence of social networking websites among SART member clinics and evaluation of content, volume, and location (i.e., mandated state, region) using multivariate regression analysis. A total of 384 SART-registered clinics and 1,382 social networking posts were evaluated. Of the clinics, 96% had a website and 30% linked to a social networking website. The majority of clinics (89%) with social networking websites were affiliated with nonacademic centers. Social networking posts mostly provided information (31%) and/or advertising (28%), and the remaining offered support (19%) or were irrelevant (17%) to the target audience. Only 5% of posts involved patients requesting information. Clinic volume correlated with the presence of a clinic website and a social networking website. Almost all SART member clinics have a website. Nearly one-third of these clinics host a social networking website such as Facebook, Twitter, and/or a blog. Large-volume clinics commonly host social networking websites. These sites provide new ways to communicate with patients, but clinics should maintain policies on the incorporation of social networks into practice. Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

  6. Using Social Media, Online Social Networks, and Internet Search as Platforms for Public Health Interventions: A Pilot Study.

    Science.gov (United States)

    Huesch, Marco D; Galstyan, Aram; Ong, Michael K; Doctor, Jason N

    2016-06-01

    To pilot public health interventions at women potentially interested in maternity care via campaigns on social media (Twitter), social networks (Facebook), and online search engines (Google Search). Primary data from Twitter, Facebook, and Google Search on users of these platforms in Los Angeles between March and July 2014. Observational study measuring the responses of targeted users of Twitter, Facebook, and Google Search exposed to our sponsored messages soliciting them to start an engagement process by clicking through to a study website containing information on maternity care quality information for the Los Angeles market. Campaigns reached a little more than 140,000 consumers each day across the three platforms, with a little more than 400 engagements each day. Facebook and Google search had broader reach, better engagement rates, and lower costs than Twitter. Costs to reach 1,000 targeted users were approximately in the same range as less well-targeted radio and TV advertisements, while initial engagements-a user clicking through an advertisement-cost less than $1 each. Our results suggest that commercially available online advertising platforms in wide use by other industries could play a role in targeted public health interventions. © Health Research and Educational Trust.

  7. Social Networks Used by Teens and Parental Control of Their Online Communication

    Directory of Open Access Journals (Sweden)

    M. Shehu

    2017-06-01

    Full Text Available The Internet plays important functions in identity formation, personal autono-my, and relationships outside the family. It allows teens to develop their own interests, to identify with others. The aim of the study is to present concrete evidence regarding to the communication through social networks and parental care in the management of online communication. Referring questionnaire “Student Needs Assessment Survey” by N. E. Willard (2007, but the author has selected questions to the scope of its study. The sample of the study includes 255 pupils aged 15 – 19 (110 Male and 145 Female. The statistical data processing was performed by SPPS statistical program, version 20. Cronbach’s Alpha 0.764 were used to assess the reliability of the instrument. The most favorite activity on the Internet by the teens is navigation on the In-ternet to see/learn new things (68.6%, during the week the subjects spend ap-proximately less than 2 hours per day (34.1% of them. Most of teenagers (82.7% claims to have communication with their parents about how they treats their friends and 56.5% of them say that sometimes have control by their par-ents for what they do online. If pupils would victim of pressure on the internet and do not have opportunities to can be contained by those 69% of them approve that they would tell to their parents and also (63.9% to school staff members. When there have been cases of violence, even threatening suicide rate of reporting and collaboration between parent - teacher is high, while in other elements resulting lower interest rates. One of the main factors in man-agement of this online communication and Internet is the parent care, which is considered most important in terms of education and not only.

  8. Factors associated with online victimisation among Malaysian adolescents who use social networking sites: a cross-sectional study.

    Science.gov (United States)

    Marret, Mary J; Choo, Wan Yuen

    2017-06-30

    To determine the prevalence of online interpersonal victimisation and its association with patterns of social networking site (SNS) use, offline victimisation, offline perpetration and parental conflict among Malaysian adolescents using SNS. A cross-sectional study of students from randomly selected public secondary schools in the state of Negeri Sembilan was conducted using an anonymous self-administered questionnaire. The questionnaire examined patterns of SNS use and included measures of online victimisation, online perpetration, offline victimisation and parental conflict. A response rate of 91% from a total of 1634 yielded a sample of 1487 students between 15 years and 16 years of age. Ninety-two per cent of respondents had used at least one SNS. More than half of SNS users (52.2%) reported experiences of online victimisation over the past 12 months. Boys were significantly more likely to experience online harassment compared with girls (52.2% vs 43.3%, ponline had almost six times higher odds of reporting frequent online victimisation compared with online behaviours involving personal disclosure. There was a significant dose-response relationship between engagement in multiple types of online behaviour and the risk of frequent online victimisation. Both online and offline perpetrations were associated with an increased risk of victimisation. Those who were victimised offline or experienced parental conflict were twice as likely to report online victimisation. Interventions to prevent online electronic aggression should target perpetration behaviour both online and offline. Youth should be equipped with skills in communication and decision-making in relationships that can be applied across a spectrum of contexts both online and offline. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  9. Privacy Practices of Health Social Networking Sites: Implications for Privacy and Data Security in Online Cancer Communities.

    Science.gov (United States)

    Charbonneau, Deborah H

    2016-08-01

    While online communities for social support continue to grow, little is known about the state of privacy practices of health social networking sites. This article reports on a structured content analysis of privacy policies and disclosure practices for 25 online ovarian cancer communities. All of the health social networking sites in the study sample provided privacy statements to users, yet privacy practices varied considerably across the sites. The majority of sites informed users that personal information was collected about participants and shared with third parties (96%, n = 24). Furthermore, more than half of the sites (56%, n = 14) stated that cookies technology was used to track user behaviors. Despite these disclosures, only 36% (n = 9) offered opt-out choices for sharing data with third parties. In addition, very few of the sites (28%, n = 7) allowed individuals to delete their personal information. Discussions about specific security measures used to protect personal information were largely missing. Implications for privacy, confidentiality, consumer choice, and data safety in online environments are discussed. Overall, nurses and other health professionals can utilize these findings to encourage individuals seeking online support and participating in social networking sites to build awareness of privacy risks to better protect their personal health information in the digital age.

  10. Applying social network analysis to understand the knowledge sharing behaviour of practitioners in a clinical online discussion forum.

    Science.gov (United States)

    Stewart, Samuel Alan; Abidi, Syed Sibte Raza

    2012-12-04

    Knowledge Translation (KT) plays a vital role in the modern health care community, facilitating the incorporation of new evidence into practice. Web 2.0 tools provide a useful mechanism for establishing an online KT environment in which health practitioners share their practice-related knowledge and experiences with an online community of practice. We have implemented a Web 2.0 based KT environment--an online discussion forum--for pediatric pain practitioners across seven different hospitals in Thailand. The online discussion forum enabled the pediatric pain practitioners to share and translate their experiential knowledge to help improve the management of pediatric pain in hospitals. The goal of this research is to investigate the knowledge sharing dynamics of a community of practice through an online discussion forum. We evaluated the communication patterns of the community members using statistical and social network analysis methods in order to better understand how the online community engages to share experiential knowledge. Statistical analyses and visualizations provide a broad overview of the communication patterns within the discussion forum. Social network analysis provides the tools to delve deeper into the social network, identifying the most active members of the community, reporting the overall health of the social network, isolating the potential core members of the social network, and exploring the inter-group relationships that exist across institutions and professions. The statistical analyses revealed a network dominated by a single institution and a single profession, and found a varied relationship between reading and posting content to the discussion forum. The social network analysis discovered a healthy network with strong communication patterns, while identifying which users are at the center of the community in terms of facilitating communication. The group-level analysis suggests that there is strong interprofessional and interregional

  11. Analysis of context dependence in social interaction networks of a massively multiplayer online role-playing game.

    Science.gov (United States)

    Son, Seokshin; Kang, Ah Reum; Kim, Hyun-chul; Kwon, Taekyoung; Park, Juyong; Kim, Huy Kang

    2012-01-01

    Rapid advances in modern computing and information technology have enabled millions of people to interact online via various social network and gaming services. The widespread adoption of such online services have made possible analysis of large-scale archival data containing detailed human interactions, presenting a very promising opportunity to understand the rich and complex human behavior. In collaboration with a leading global provider of Massively Multiplayer Online Role-Playing Games (MMORPGs), here we present a network science-based analysis of the interplay between distinct types of user interaction networks in the virtual world. We find that their properties depend critically on the nature of the context-interdependence of the interactions, highlighting the complex and multilayered nature of human interactions, a robust understanding of which we believe may prove instrumental in the designing of more realistic future virtual arenas as well as provide novel insights to the science of collective human behavior.

  12. Online support for transgender people: an analysis of forums and social networks.

    Science.gov (United States)

    Cipolletta, Sabrina; Votadoro, Riccardo; Faccio, Elena

    2017-09-01

    Transgender people face a range of personal and social conflicts that strongly influence their well-being. In many cases, the Internet can become the main resource in terms of finding support. The aim of this study was to understand how transgender people give and receive help online. Between 2013 and 2015, 122 online community conversations were collected on Italian forums and Facebook groups involving transgender people, and online interviews were conducted with 16 users of these communities. A qualitative content analysis was conducted by using the software package, NVivo10. The main categories that emerged were: motivations to join an online community, online help, differences between online and offline interactions, status, conflicts and professional help. Results indicate that participation in online communities often derives from the users' need for help. This help can be given by peers who have had similar experiences, and by professionals who participate in the discussions as moderator. The need to test one's own identity, to compare oneself with others and to share one's personal experiences made online communities at risk of exposing users to invalidation and transphobic messages. Administrators and moderators try to ensure the safety of users, and suggest that they ask for professional help offline and/or online when over-specific medical advice was sought. This study confirms that transgender people might find benefit from an online platform of help and support and might minimise distance problems, increase financial convenience and foster disinhibition. © 2017 John Wiley & Sons Ltd.

  13. The Best of Both Worlds? Online Ties and the Alternating Use of Social Network Sites in the Context of Migration

    Directory of Open Access Journals (Sweden)

    Jens F. Binder

    2014-12-01

    Full Text Available While an ever-growing body of research is concerned with user behavior on individual social network sites (SNSs—mostly Facebook—studies addressing an alternating use of two or more SNS are rare. Here, we investigate the relationship between alternating SNS use and social capital in the context of migration. Alternating SNS use avoids some of the problems associated with large networks located on one site; in particular the management of different social or cultural spheres. Not only does this strategy hold potential for increased social capital, it also provides a particular incentive for migrants faced with the challenge of staying in touch with back home and managing a new social environment. Two survey studies are presented that focus on the relationship between alternating SNS use and online ties in a migrant context involving Indian nationals. Study 1 looked at migration within India, whereas Study 2 compared international with domestic SNS users. In both studies, alternating SNS use added to the prediction of online network size and accounted for differences in network size found for migrant and non-migrant users. Differences were due to the number of peripheral ties, rather than core ties. Findings suggest that alternating SNS use may constitute a compensatory strategy that helps to overcome lower levels of socializing represented through a single SNS.

  14. ONLINE SOCIAL NETWORKS AS A TOOL FOR THE PROMOTION OF PHYSICAL ACTIVITY AND HEALTH: A RESOURCE SCIENTIFICALLY FEW EXPLORED

    Directory of Open Access Journals (Sweden)

    Arían Ramón Aladro Gonzalvo

    2015-06-01

    Full Text Available Due to the great impact  that are exerting the networks in society, it is crucial to know the features that distinguish online social networks bringing together users interested in receiving information and resources to improve or maintain the body in shape. This article aims to comment on the limited research interested in studying the features and particularities of online communities that provide information, advice and support in the execution, performance and promotion of the health and fitness activities. Particularly, it underline about the necessity to know of networks structure, user profiles and peer-to-peer interaction, sort of membership, mechanisms of communication, representation of the body image and patterns of association. Likewise, the size of the support networks, telepresence, technology acceptance and perceived risk on the network. Besides, we recommend exploring two Fitness-related online social networks. Finally, it makes known the recurring problems in the analysis in order to characterize psychosocial and communicative aspects of users in the virtual environment.

  15. Growing model of online social network.%在线社会网络演化模型

    Institute of Scientific and Technical Information of China (English)

    李稳国; 崔宪普; 邓曙光; 肖卫初

    2011-01-01

    Based on ideas of previous network models,an online social network evolution model is presented by analyzing topology, characteristics and evolution of online social networks. A dynamic weight is introduced into the online social evolution model.Theoretical analysis and simulation show that the online network evolution model is scale-free and small world with power-law degrees, node degrees and strength degrees, and with large clustering coefficient and small path length, which is adjustable. The scale-free and small world properties correspond with real-life online society network.%在分析在线社会网络的拓扑结构、特征及演化规律的基础上,借鉴了前人网络模型的思想,提出了在线社会网络演化模型,引入动态的加权方式,提出了一种在线社会网络演化模型.理论分析和仿真表明:在线社会网络演化模型具有无标度和小世界特性,点权,边权、度分布呈现幂律特性,具有较多的簇系数、较小的路径长度且可调.这种无标度和小世界特性与现实中的在线社会网络较为一致.

  16. The Impact of Online Social Networks on Health and Health Systems: A Scoping Review and Case Studies.

    Science.gov (United States)

    Griffiths, Frances; Dobermann, Tim; Cave, Jonathan A K; Thorogood, Margaret; Johnson, Samantha; Salamatian, Kavé; Gomez Olive, Francis X; Goudge, Jane

    2015-12-01

    Interaction through online social networks potentially results in the contestation of prevailing ideas about health and health care, and to mass protest where health is put at risk or health care provision is wanting. Through a review of the academic literature and case studies of four social networking health sites (PatientsLikeMe, Mumsnet, Treatment Action Campaign, and My Pro Ana), we establish the extent to which this phenomenon is documented, seek evidence of the prevalence and character of health-related networks, and explore their structure, function, participants, and impact, seeking to understand how they came into being and how they sustain themselves. Results indicate mass protest is not arising from these established health-related networking platforms. There is evidence of changes in policy following campaigning activity prompted by experiences shared through social networking such as improved National Health Service care for miscarriage (a Mumsnet campaign). Platform owners and managers have considerable power to shape these campaigns. Social networking is also influencing health policy indirectly through increasing awareness and so demand for health care. Transient social networking about health on platforms such as Twitter were not included as case studies but may be where the most radical or destabilizing influence on health care policy might arise.

  17. Next Generation Social Networks

    DEFF Research Database (Denmark)

    Sørensen, Lene Tolstrup; Skouby, Knud Erik

    2008-01-01

    When it comes to discussing the future of electronic communication, social networking is the buzzword. The Internet has become a platform where new social networks emerge and the Internet it itself support the more traditional computer supported communication. The way users build and verifies...... different online networks for communities of people who share interests or individuals who presents themselves through user produced content is what makes up the social networking of today. The purpose of this paper is to discuss perceived user requirements to the next generation social networks. The paper...

  18. Share2Quit: Online Social Network Peer Marketing of Tobacco Cessation Systems.

    Science.gov (United States)

    Sadasivam, Rajani S; Cutrona, Sarah L; Luger, Tana M; Volz, Erik; Kinney, Rebecca; Rao, Sowmya R; Allison, Jeroan J; Houston, Thomas K

    2017-03-01

    Although technology-assisted tobacco interventions (TATIs) are effective, they are underused due to recruitment challenges. We tested whether we could successfully recruit smokers to a TATI using peer marketing through a social network (Facebook). We recruited smokers on Facebook using online advertisements. These recruited smokers (seeds) and subsequent waves of smokers (peer recruits) were provided the Share2Quit peer recruitment Facebook app and other tools. Smokers were incentivized for up to seven successful peer recruitments and had 30 days to recruit from date of registration. Successful peer recruitment was defined as a peer recruited smoker completing the registration on the TATI following a referral. Our primary questions were (1) whether smokers would recruit other smokers and (2) whether peer recruitment would extend the reach of the intervention to harder-to-reach groups, including those not ready to quit and minority smokers. Overall, 759 smokers were recruited (seeds: 190; peer recruits: 569). Fifteen percent (n = 117) of smokers successfully recruited their peers (seeds: 24.7%; peer recruits: 7.7%) leading to four recruitment waves. Compared to seeds, peer recruits were less likely to be ready to quit (peer recruits 74.2% vs. seeds 95.1%), more likely to be male (67.1% vs. 32.9%), and more likely to be African American (23.8% vs. 10.8%) (p marketing strategy. Smokers on Facebook were willing and able to recruit other smokers to a TATI, yielding a large and diverse population of smokers.

  19. A Privacy-Preserving Attribute-Based Reputation System in Online Social Networks

    Institute of Scientific and Technical Information of China (English)

    Linke Guo; Chi Zhang; Yuguang Fang; Phone Lin

    2015-01-01

    Online social networks (OSNs) have revolutionarily changed the way people connect with each other. One of the main factors that help achieve this success is reputation systems that enable OSN users to mutually establish trust relationships based on their past experience. Current approaches for the reputation management cannot achieve the fine granularity and verifiability for each individual user, in the sense that the reputation values on such OSNs are coarse and lack of credibility. In this paper, we propose a fine granularity attribute-based reputation system which enables users to rate each other’s attributes instead of identities. Our scheme first verifies each OSN user’s attributes, and further allows OSN users to vote on the posted attribute-associated messages to derive the reputation value. The attribute verification process provides the authenticity of the reputation value without revealing the actual value to entities who do not have the vote privilege. To predict a stranger’s behavior, we propose a reputation retrieval protocol for querying the reputation value on a specific attribute. To the best of our knowledge, we are the first to define a fine-grained reputation value based on users’ verified attributes in OSNs with privacy preservation. We provide the security analysis along with the simulation results to verify the privacy preservation and feasibility. The implementation of the proposed scheme on current OSNs is also discussed.

  20. Online Social Networks and Terrorism 2.0 in Developing Countries

    Directory of Open Access Journals (Sweden)

    Fredrick Romanus Ishengoma

    2013-04-01

    Full Text Available The advancement in technology has brought a new era in terrorism where Online Social Networks (OSNs have become a major platform of communication with wide range of usage from message channeling to propaganda and recruitment of new followers in terrorist groups. Meanwhile, during the terrorist attacks people use OSNs for information exchange, mobilizing and uniting and raising money for the victims. This paper critically analyses the specific usage of OSNs in the times of terrorisms attacks in developing countries. We crawled and used Twitters data during Westgate shopping mall terrorist attack in Nairobi, Kenya. We then analyzed the number of tweets, geo-location of tweets, demographics of the users and whether users in developing countries tend to tweet, retweet or reply during the event of a terrorist attack. We define new metrics (reach and impression of the tweet and present the models for calculating them. The study findings show that, users from developing countries tend to tweet more at the first and critical times of the terrorist occurrence. Moreover, large number of tweets originated from the attacked country (Kenya with 73% from men and 23% from women where original posts had a most number of tweets followed by replies and retweets.

  1. The Influence of Culture on the Expression of Emotions in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Cathia PAPI

    2016-12-01

    Full Text Available Seeking to understand the influence of culture on the expression of emotions in online social networks, we analyzed four Facebook groups – two from Quebec, Canada and two from Colombia – created following unexpected deaths. Comparison of the messages posted in these groups reveals a stronger tendency to maintain a virtual relationship with the deceased by Canadians than by Columbians. Among the former, the deceased is more often asked to and thanked for watching over the living, and testimonies of love addressed to the deceased are more numerous than among the latter. Among the latter, the strength of the links maintained with the deceased justifying the present pain and evocation of the mourners’ Catholic beliefs are relatively more frequent. Finally, while the Canadian Quebecers’ messages would presumably be written in French and those of Colombians in Spanish, it is interesting to observe a certain presence of English to express feelings of loss and love in the four groups, as well as a certain affinity between North American virtual bereavement practices and those seemingly more characteristic of women, the main contributors in all four groups.

  2. Health Social Networks as Online Life Support Groups for Patients With Cardiovascular Diseases

    Energy Technology Data Exchange (ETDEWEB)

    Medina, Edhelmira Lima, E-mail: edhyly@ic.uff.br; Loques, Orlando Filho [Instituto de Computação - Universidade Federal Fluminense, Niterói, RJ (Brazil); Mesquita, Cláudio Tinoco [Hospital Universitário Antônio Pedro - Universidade Federal Fluminense, Niterói, RJ (Brazil)

    2013-08-15

    The number of patients who use the internet in search for information that might improve their health conditions has increased. Among them, those looking for virtual environments to share experiences, doubts, opinions, and emotions, and to foster relationships aimed at giving and getting support stand out. Therefore, there is an increasing need to assess how those environments can affect the patients' health. This study was aimed at identifying scientific studies on the proliferation and impact of virtual communities, known as health social networks or online support groups, directed to cardiovascular diseases, which might be useful to patients with certain conditions, providing them with information and emotional support. A systematic review of the literature was conducted with articles published from 2007 to 2012, related to cardiovascular diseases and collected from the following databases: PubMed; Association for Computing Machinery(ACM); and Institute of Electrical and Electronics Engineers (IEEE). Four articles meeting the inclusion criteria were selected. The results were interesting and relevant from the health viewpoint, identifying therapeutic benefits, such as provision of emotional support, greater compliance to treatment, and information sharing on diseases and on life experiences.

  3. Romantic Partner Monitoring After Breakups: Attachment, Dependence, Distress, and Post-Dissolution Online Surveillance via Social Networking Sites.

    Science.gov (United States)

    Fox, Jesse; Tokunaga, Robert S

    2015-09-01

    Romantic relationship dissolution can be stressful, and social networking sites make it difficult to separate from a romantic partner online as well as offline. An online survey (N = 431) tested a model synthesizing attachment, investment model variables, and post-dissolution emotional distress as predictors of interpersonal surveillance (i.e., "Facebook stalking") of one's ex-partner on Facebook after a breakup. Results indicated that anxious attachment predicted relational investment but also seeking relationship alternatives; avoidant attachment was negatively related to investment but positively related to seeking alternatives. Investment predicted commitment, whereas seeking alternatives was negatively related to commitment. Commitment predicted emotional distress after the breakup. Distress predicted partner monitoring immediately following the breakup, particularly for those who did not initiate the breakup, as well as current partner monitoring. Given their affordances, social media are discussed as potentially unhealthy enablers for online surveillance after relationship termination.

  4. Complex Networks approach to modeling online social systems: The emergence of computational social science

    OpenAIRE

    2013-01-01

    La presente tesis está dedicada a la descripción, análisis y modelado cuantitativo de sistemas complejos sociales en forma de redes sociales en internet. Mediante el uso de métodos y conceptos provenientes de ciencia de redes, análisis de redes sociales y minería de datos se descubren diferentes patrones estadísticos de los sistemas estudiados. Uno de los objetivos a largo plazo de esta línea de investigación consiste en hacer posible la predicción del comportamiento de sistemas complejos te...

  5. OSN Mood Tracking: Exploring the Use of Online Social Network Activity as an Indicator of Mood Changes

    OpenAIRE

    Lee, James Alexander; Efstratiou, Christos; Bai, Lu

    2016-01-01

    Online social networks (OSNs) have become an integral part of our everyday lives, where we share our thoughts and feelings. This study analyses the extent to which the changes of an individual’s real-world psychological mood can be inferred by tracking their online activity on Face- book and Twitter. By capturing activities from the OSNs and ground truth data via experience sampling, it was found that mood changes can be detected within a window of 7 days for 61% of the participants by using ...

  6. Online Social Networking and Addiction—A Review of the Psychological Literature

    Directory of Open Access Journals (Sweden)

    Daria J. Kuss

    2011-08-01

    Full Text Available Social Networking Sites (SNSs are virtual communities where users can create individual public profiles, interact with real-life friends, and meet other people based on shared interests. They are seen as a ‘global consumer phenomenon’ with an exponential rise in usage within the last few years. Anecdotal case study evidence suggests that ‘addiction’ to social networks on the Internet may be a potential mental health problem for some users. However, the contemporary scientific literature addressing the addictive qualities of social networks on the Internet is scarce. Therefore, this literature review is intended to provide empirical and conceptual insight into the emerging phenomenon of addiction to SNSs by: (1 outlining SNS usage patterns, (2 examining motivations for SNS usage, (3 examining personalities of SNS users, (4 examining negative consequences of SNS usage, (5 exploring potential SNS addiction, and (6 exploring SNS addiction specificity and comorbidity. The findings indicate that SNSs are predominantly used for social purposes, mostly related to the maintenance of established offline networks. Moreover, extraverts appear to use social networking sites for social enhancement, whereas introverts use it for social compensation, each of which appears to be related to greater usage, as does low conscientiousness and high narcissism. Negative correlates of SNS usage include the decrease in real life social community participation and academic achievement, as well as relationship problems, each of which may be indicative of potential addiction.

  7. Online People Tagging: Social (Mobile) Network(ing) Services and Work-Based Learning

    Science.gov (United States)

    Cook, John; Pachler, Norbert

    2012-01-01

    Social and mobile technologies offer users unprecedented opportunities for communicating, interacting, sharing, meaning-making, content and context generation. And, these affordances are in constant flux driven by a powerful interplay between technological innovation and emerging cultural practices. Significantly, also, they are starting to…

  8. Online People Tagging: Social (Mobile) Network(ing) Services and Work-Based Learning

    Science.gov (United States)

    Cook, John; Pachler, Norbert

    2012-01-01

    Social and mobile technologies offer users unprecedented opportunities for communicating, interacting, sharing, meaning-making, content and context generation. And, these affordances are in constant flux driven by a powerful interplay between technological innovation and emerging cultural practices. Significantly, also, they are starting to…

  9. Online Community and User-Generated Content: Understanding the Role of Social Networks

    Science.gov (United States)

    Oh, Jeong Ha

    2010-01-01

    Models of user generated content (UGC) creation such as Facebook, MySpace, and YouTube are facing robust growth accelerated by the adoption of Web 2.0 technologies and standards. These business models offer a fascinating avenue for exploring the role of social influence online. This dissertation is motivated by the success of YouTube, which is…

  10. Online Community and User-Generated Content: Understanding the Role of Social Networks

    Science.gov (United States)

    Oh, Jeong Ha

    2010-01-01

    Models of user generated content (UGC) creation such as Facebook, MySpace, and YouTube are facing robust growth accelerated by the adoption of Web 2.0 technologies and standards. These business models offer a fascinating avenue for exploring the role of social influence online. This dissertation is motivated by the success of YouTube, which is…

  11. A Qualitative Study to Examine Feasibility and Design of an Online Social Networking Intervention to Increase Physical Activity in Teenage Girls.

    Directory of Open Access Journals (Sweden)

    Gisela Van Kessel

    Full Text Available Online social networks present wide-reaching and flexible platforms through which to deliver health interventions to targeted populations. This study used a social marketing approach to explore teenage girls' perceptions of physical activity and the potential use of online social networks to receive a physical activity intervention.Six focus groups were conducted with 19 Australian teenage girls (ages 13 to 18 years with varying levels of physical activity and socioeconomic status. A semi-structured format was used, with groups discussion transcribed verbatim. Content analysis identified emergent themes, with triangulation and memos used to ensure accuracy.Physical activity was most appealing when it emphasised sport, exercise and fitness, along with opportunities for socialisation with friends and self-improvement. Participants were receptive to delivery of a physical activity intervention via online social networks, with Facebook the most widely reported site. Participants commonly accessed online social networks via mobile devices and particularly smartphones. Undesirable features included promotion of physical activity in terms of walking; use of cartoon imagery; use of humour; and promotion of the intervention via schools, each of which were considered "uncool". Participants noted that their parents were likely to be supportive of them using an online social networking physical activity intervention, particularly if not promoted as a weight loss intervention.This study identified key features likely to increase the feasibility and retention of an online social networking physical activity intervention for teenage girls. Guidelines for the design of interventions for teenage girls are provided for future applications.

  12. Study the effect of intention to use online social networks on brand performance with investigating the mediating role of customer-based brand equity

    Directory of Open Access Journals (Sweden)

    Davood Feiz

    2016-01-01

    Full Text Available Using online social networks and information collection from sites can affect purchasing behavior. Consumer cognize their friends' buying decisions more valuable to the anonymous' decisions and trust them more. This Study examine the impact of intention to use online social networks on brand's performance with emphasize on customer-based brand equity. Data were collected through a questionnaire that was distributed among 384 college students. Research findings suggest that there is a positive relationship between the intention to use online social networks and customer-based brand equity, but there is no significant relationship between the intention to use online social networks and Brand market performance. Also there is a positive relationship between customer-based brand equity and Brand market performance.

  13. Analysis on Topological Features of Online Social Networks%在线社交网络的拓扑特性分析

    Institute of Scientific and Technical Information of China (English)

    李勇军

    2012-01-01

    In this paper, firstly the background knowledge of online social network were summarized and presented. Secondly the framework of topological features of online social network was discussed. Thirdly several typical online social networks and their topological features were described in details. And then, this paper presents the results of comparative evaluation of topological features of these online social networks under a selection of scenarios. Finally* the research trends in this area were also discussed.%介绍了社交网络的背景知识,讨论了社交网络拓扑特性的研究框架,选取不同类型的社交网络对其拓扑特性进行评述,并针对各种典型社交网络的拓扑特性进行比较总结,最后展望了需要进一步研究的方向.

  14. Social Networking and Social Support in Tourism Experience: The Moderating Role of Online Self-Presentation Strategies

    DEFF Research Database (Denmark)

    Kim, Jeongmi; Tussyadiah, Iis

    2013-01-01

    -presentation strategies. The results emphasize the importance of SNS use for tourists to seek support from their social network while traveling. The study clarifies the importance of SNS use for tourism experience, in that the more tourists are engaged in social activities through SNS while traveling, the more social...

  15. Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook.

    Science.gov (United States)

    Greene, Jeremy A; Choudhry, Niteesh K; Kilabuk, Elaine; Shrank, William H

    2011-03-01

    Several disease-specific information exchanges now exist on Facebook and other online social networking sites. These new sources of knowledge, support, and engagement have become important for patients living with chronic disease, yet the quality and content of the information provided in these digital arenas are poorly understood. To qualitatively evaluate the content of communication in Facebook communities dedicated to diabetes. We identified the 15 largest Facebook groups focused on diabetes management. For each group, we downloaded the 15 most recent "wall posts" and the 15 most recent discussion topics from the 10 largest groups. Four hundred eighty unique users were identified in a series of 690 comments from wall posts and discussion topics. Posts were abstracted and aggregated into a database. Two investigators evaluated the posts, developed a thematic coding scheme, and applied codes to the data. Patients with diabetes, family members, and their friends use Facebook to share personal clinical information, to request disease-specific guidance and feedback, and to receive emotional support. Approximately two-thirds of posts included unsolicited sharing of diabetes management strategies, over 13% of posts provided specific feedback to information requested by other users, and almost 29% of posts featured an effort by the poster to provide emotional support to others as members of a community. Approximately 27% of posts featured some type of promotional activity, generally presented as testimonials advertising non-FDA approved, "natural" products. Clinically inaccurate recommendations were infrequent, but were usually associated with promotion of a specific product or service. Thirteen percent of posts contained requests for personal information from Facebook participants. Facebook provides a forum for reporting personal experiences, asking questions, and receiving direct feedback for people living with diabetes. However, promotional activity and personal

  16. Distance learning strategies for weight management utilizing online social networks versus group phone conference call.

    Science.gov (United States)

    Willis, Erik A; Szabo-Reed, Amanda N; Ptomey, Lauren T; Steger, Felicia L; Honas, Jeffery J; Al-Hihi, Eyad M; Lee, Robert; Lee, Jaehoon; Oh, Youngha; Washburn, Richard A; Donnelly, Joseph E

    2017-06-01

    The increase in technology and online social networks (OSNs) may present healthcare providers with an innovative modality for delivering weight management programmes that could have an impact on health care at the population level. The objective of this study was to evaluate the feasibility and efficacy of using an OSN to deliver a weight loss programme to inform future, large-scale trials. Seventy individuals (age = 47 ± 12.4, minority = 24.3%) with obesity (BMI = 36.2 ± 4.0) completed a 6-month weight loss intervention and were randomized to either a conference call or OSN delivery group. Weight loss was achieved by reducing energy intake by 500-700 kcal·d(-1) below estimated total daily energy expenditure and progressing physical activity to 300 min/week. Behavioural weight loss strategies were delivered weekly throughout the intervention. Conference call and OSN groups produced clinically meaningful weight loss of ≥5% from baseline to 6 months (phone = -6.3 ± 6.4%, OSN = -5.8 ± 6.7%). There was no significant difference in weight change between groups (p = 0.765). The phone and OSN groups met the American Heart Association/American College of Cardiology/The Obesity Society's Guidelines by reducing baseline weight by 5-10% within 6 months. OSNs appear to be a viable delivery platform for weight loss interventions; however, larger scale adequately powered trials are needed.

  17. Identity Confusion and Materialism Mediate the Relationship Between Excessive Social Network Site Usage and Online Compulsive Buying.

    Science.gov (United States)

    Sharif, Saeed Pahlevan; Khanekharab, Jasmine

    2017-08-01

    This study investigates the mediating role of identity confusion and materialism in the relationship between social networking site (SNS) excessive usage and online compulsive buying among young adults. A total of 501 SNS users aged 17 to 23 years (M = 19.68, SD = 1.65) completed an online survey questionnaire. A serial multiple mediator model was developed and hypotheses were tested using structural equation modeling. The results showed that excessive young adult SNS users had a higher tendency toward compulsive buying online. This was partly because they experienced higher identity confusion and developed higher levels of materialism. Targeted psychological interventions seeking to gradually increase identity clarity to buffer the detrimental effects of SNS usage and identity confusion in young adults are suggested.

  18. PERFORMANCE ANALYSIS OF THE RECENT ROLE OF OMSA APPROACHES IN ONLINE SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    J. Ashok Kumar

    2014-11-01

    Full Text Available In this emerging trend, it is necessary to understand the recent developments taking place in the field of opinion mining and sentiment analysis (OMSA as part of text mining in social networks, which plays an important role for decision making process to the organization or company, Government and general public. In this paper, we present the recent role of OMSA in Social Networks with different frameworks such as data collection process, text pre-processing, classification algorithms, and performance evaluation results. The achieved accuracy level is compared and shown for different frameworks. Finally, we conclude the present challenges and future developments of OMSA.

  19. Social Networking and Social Support in Tourism Experience: The Moderating Role of Online Self-Presentation Strategies

    DEFF Research Database (Denmark)

    Kim, Jeongmi; Tussyadiah, Iis

    2013-01-01

    The purpose of this study is to provide an understanding of how tourists' self-presentation is managed on social networking sites (SNS). Specifically, the study investigated the effects of SNS use on social support and tourism experience and the moderating role of the different tourists' self...

  20. MIXING SOCIAL INTO SOCIAL MEDIA: ON-LINE NETWORKING IS TRANSFORMING THE WAY OF BUSINESS ALL OVER THE GLOBE

    Directory of Open Access Journals (Sweden)

    Adriana Manolică

    2011-09-01

    Full Text Available In last three years, we are witnessing an explosion on social media scene: more and more actors, spectacular growth. So, the social media phenomena cannot be ignored and it is global. Now, in 2011, Facebook is bigger than ever - the most visited site on the Internet. The popularity of social networks like Facebook, Twitter and YouTube, together with the growth of social technologies like blogs and wikis, presents a huge opportunity for marketers. This paper aims to present some facts about social-media users and about its incidence in Romania.

  1. Bridging Social Capital in Online Communities: Heterogeneity and Social Tolerance of Online Game Players in Japan

    Science.gov (United States)

    Kobayashi, Tetsuro

    2010-01-01

    This article examines the democratic potential of online communities by investigating the influence of network heterogeneity on social tolerance in an online gaming environment. Online game communities are potential sources of bridging social capital because they tend to be relatively heterogeneous. Causal analyses are conducted using structural…

  2. Social networks

    CERN Document Server

    Etaner-Uyar, A Sima

    2014-01-01

    The present volume provides a comprehensive resource for practitioners and researchers alike-both those new to the field as well as those who already have some experience. The work covers Social Network Analysis theory and methods with a focus on current applications and case studies applied in various domains such as mobile networks, security, machine learning and health. With the increasing popularity of Web 2.0, social media has become a widely used communication platform. Parallel to this development, Social Network Analysis gained in importance as a research field, while opening up many

  3. Social Network: an online newspaper as a source of specialized information on tourism

    Directory of Open Access Journals (Sweden)

    Antônio Claret Guerra

    2014-11-01

    Full Text Available This paper aims providing information for an objective assessment of the importance of social networks based on the internet as a source of information on tourism. The study was sustained with qualitative researches from the the Brazilian National Newspaper Association (ANJ, audits of the Circulation Verification Institute (IVC, interviews with journalists and an expert in digital media, and enquiries at “O Tempo” website . The chosen method was qualitative and exploratory, using a case study approach. The data collection comprehended documentary research and targeted interviews. Among the results, in the researched company it was identified the use of social networks by esteemed public of 8.8 million to 10.7 million people in the year of 2011. Also, the study recognized the exponential expansion of possibilities for direct contact with diverse audiences in the social networks environments, inducing the approximation and loyalty of the reader and the journalist. Also, social networks facilitate access to information, which enables the development of specific communication vehicles to these new media.

  4. To use or not to use: guidelines for researchers using data from online social networking sites

    NARCIS (Netherlands)

    Wynsberghe, van Aimee; Been, Henry; Keulen, van Maurice

    2013-01-01

    The universal and ubiquitous use of computing technologies confronts us with new ethical dilemmas on a daily basis. In the current age of abundant information sharing and gathering, social networking sites (SNSs) are now thought of as incredible resources for collecting data on individuals. The ques

  5. Logging on and Letting out: Using Online Social Networks to Grieve and to Mourn

    Science.gov (United States)

    Carroll, Brian; Landry, Katie

    2010-01-01

    The purpose of this article is to explore how and why younger Internet users of social networking platforms such as MySpace and Facebook maintain connections with those who have died or been killed. This article, therefore, examines the blurring or blending of interpersonal communication and mass communication via the web as what once was very…

  6. Logging on and Letting out: Using Online Social Networks to Grieve and to Mourn

    Science.gov (United States)

    Carroll, Brian; Landry, Katie

    2010-01-01

    The purpose of this article is to explore how and why younger Internet users of social networking platforms such as MySpace and Facebook maintain connections with those who have died or been killed. This article, therefore, examines the blurring or blending of interpersonal communication and mass communication via the web as what once was very…

  7. A systematic examination of the use of Online social networking sites for sexual health promotion

    Directory of Open Access Journals (Sweden)

    Hellard Margaret E

    2011-07-01

    Full Text Available Abstract Background In recent years social networking sites (SNSs have grown rapidly in popularity. The popularity of these sites, along with their interactive functions, offer a novel environment in which to deliver health promotion messages. The aim of this paper is to examine the extent to which SNSs are currently being used for sexual health promotion and describe the breadth of these activities. Methods We conducted a systematic search of published scientific literature, electronic sources (general and scientific search engines, blogs and SNSs (Facebook, MySpace to identify existing sexual health promotion activities using SNSs. Health promotion activities were eligible for inclusion if they related to sexual health or behaviour, utilised one or more SNSs, and involved some element of health promotion. Information regarding the source and type of health promotion activity, target population and site activity were extracted. Results 178 sexual health promotion activities met the inclusion criteria and were included in the review; only one activity was identified through a traditional systematic search of the published scientific literature. Activities most commonly used one SNS, were conducted by not-for-profit organisations, targeted young people and involved information delivery. Facebook was the most commonly used SNS (used by 71% of all health promotion activities identified, followed by MySpace and Twitter. Seventy nine percent of activities on MySpace were considered inactive as there had been no online posts within the past month, compared to 22% of activities using Facebook and 14% of activities using Twitter. The number of end-users and posts in the last seven days varied greatly between health promotion activities. Conclusions SNSs are being used for sexual health promotion, although the extent to which they are utilised varies greatly, and the vast majority of activities are unreported in the scientific literature. Future studies

  8. Connecting to young adults: an online social network survey of beliefs and attitudes associated with prescription opioid misuse among college students.

    Science.gov (United States)

    Lord, Sarah; Brevard, Julie; Budman, Simon

    2011-01-01

    A survey of motives and attitudes associated with patterns of nonmedical prescription opioid medication use among college students was conducted on Facebook, a popular online social networking Web site. Response metrics for a 2-week random advertisement post, targeting students who had misused prescription medications, surpassed typical benchmarks for online marketing campaigns and yielded 527 valid surveys. Respondent characteristics, substance use patterns, and use motives were consistent with other surveys of prescription opioid use among college populations. Results support the potential of online social networks to serve as powerful vehicles to connect with college-aged populations about their drug use. Limitations of the study are noted.

  9. Locating privileged information spreaders during political protests on an Online Social Network

    CERN Document Server

    Borge-Holthoefer, Javier; Moreno, Yamir

    2011-01-01

    Although the phrase "Twitter revolution" was coined back in 2009 to refer to the mass mobilizations in Moldova and soon after in Iran, year 2011 has confirmed the connection between social media and social unrest. Undoubtedly, the "Arab spring" or the "Spanish revolution" --which has spread throughout and culminated with Liberty Square occupation in New York-- cannot be understood without the role of social networking sites to help protesters self-organize and attain a critical mass of participants. In this context, we need to distinguish dynamic activity (which comprises actual information exchange) from the underlying structure (which reflects relatively stable relationships between users --who follows who). We provide a quantitative analysis which stems from complex network theory to scrutinize the mobilization's temporal evolution and its resulting structure and dynamics both at the macro- and micro-scale levels. Most importantly, we study the interplay between the structural and dynamic levels to deciphe...

  10. Online Networking Site

    Institute of Scientific and Technical Information of China (English)

    杨淑恬

    2011-01-01

    @@ According to surveies of what users do on the Internet, it shows that Internet usage falls into four main categories; information, entertainment,social networking,and business.I decided to de- velop an ultimate social networking website that can include all this functions.

  11. A Generic Framework for Extraction of Knowledge from Social Web Sources (Social Networking Websites for an Online Recommendation System

    Directory of Open Access Journals (Sweden)

    Javubar Sathick

    2015-04-01

    Full Text Available Mining social web data is a challenging task and finding user interest for personalized and non-personalized recommendation systems is another important task. Knowledge sharing among web users has become crucial in determining usage of web data and personalizing content in various social websites as per the user’s wish. This paper aims to design a framework for extracting knowledge from web sources for the end users to take a right decision at a crucial juncture. The web data is collected from various web sources and structured appropriately and stored as an ontology based data repository. The proposed framework implements an online recommender application for the learners online who pursue their graduation in an open and distance learning environment. This framework possesses three phases: data repository, knowledge engine, and online recommendation system. The data repository possesses common data which is attained by the process of acquiring data from various web sources. The knowledge engine collects the semantic data from the ontology based data repository and maps it to the user through the query processor component. Establishment of an online recommendation system is used to make recommendations to the user for a decision making process. This research work is implemented with the help of an experimental case study which deals with an online recommendation system for the career guidance of a learner. The online recommendation application is implemented with the help of R-tool, NLP parser and clustering algorithm.This research study will help users to attain semantic knowledge from heterogeneous web sources and to make decisions.

  12. Trade-off between virality and mass media influence in the topological evolution of online social networks

    CERN Document Server

    Kleineberg, Kaj-Kolja

    2014-01-01

    Nowadays, available comprehensive datasets of online social networks (OSNs) have enabled researchers to study the social universe at a previously unattainable scale. The worldwide impact of OSNs and the necessity to sustain their rapid growth emphasize the importance to unravel the laws governing their evolution. However, the co-existence of interacting OSNs competing for the same users makes the identification of such laws challenging. Here, we study an OSN with a unique set of properties --a very high population coverage, a language-induced isolation, and the absence of strong competitors-- which allows us to gauge the fundamental mechanisms responsible for the growth of a quasi-isolated OSN. Our findings suggest that the coupling between the real pre-existing underlying social structure, a viral spreading mechanism, and the influence of the mass media play an essential role in the evolution of OSNs. The empirical validation of these ideas allows us to draw the following conclusions. First, the viral effect...

  13. CSR communication through online social media

    OpenAIRE

    Araceli Castelló-Martínez, Ph.D.; Vicente-José Ros-Diego, Ph.D.

    2012-01-01

    Online social networks such as Facebook and Twitter have become essential channels in business strategies. Corporate Social Responsibility communication faces new challenges in these spaces of the Web 2.0, where companies can interact with users, generate a brand community, increase their visibility, and strengthen their position in the market. This research study aims to analyse the way companies use the major online social media to communicate their Corporate Social Responsibility programme...

  14. Fra onlinefællesskaber til onlinenetværk: Facebook som augmentering af den sociale virkelighed [From online communities to online networks: Facebook as an augmentation of social reality

    Directory of Open Access Journals (Sweden)

    Jakob Linaa Jensen

    2009-06-01

    Full Text Available This article discusses the Facebook phenomenon, using it as an example of how the most dominant social use of the Internet today is network-based rather than community-based. In the early years of the Internet, online communities were popular fora for meeting new people with related interests or opinions. Today, the dominant social use is to create and maintain relationships with your existing social network. It is also demonstrated that the success of Facebook, is dependent, among other factors, upon the fulfilment of five social functions for the users: self-presentation, friendship, object sharing, publication, and having a “sixth sense”. Thus, Facebook contributes to an enhancement of existing social relationships offline, what I call an augmentation of social reality.

  15. The Web works in strange ways - unexpected results from MBARI's expanding use of online media and social networking

    Science.gov (United States)

    Fulton-bennett, K. W.

    2011-12-01

    As a relatively small organization, the Monterey Bay Aquarium Research Institute has gradually expanded its use of on-line and social media over the past few years. Our web site and expedition blogs have been available for over a decade. In 2009 we established a YouTube channel and RSS feeds. In early 2011 we set up Facebook and Twitter sites that are maintained through automated feeds (e.g. Twitterfeed) as well as by two employees who each spend about two hours a week adding items of interest. Although we do respond to comments, we have not actively encouraged interaction and discussion on our social networking sites, due to limited staff time. Prior to setting up our sites, I studied existing the Facebook pages for a number of marine research institutions and found that the frequency at which a research institution updated its social media site was directly correlated with the number of dedicated followers of that site. For this reason, MBARI set goals for keeping our sites updated on a regular basis-at least monthly for YouTube, and three to five times a week for Facebook and Twitter. While expanding our social media activities, we have also expanded our monitoring of all our on-line media. This monitoring has revealed some surprising findings. For example, although we have a steadily growing list of followers (over 1,000 "likes" on Facebook and almost 2,500 "subscribers" YouTube), the use of social media has not significantly increased traffic to our main institutional web site. For the last three years, this site has maintained fairly consistent traffic at 1,000 to 2,000 visits/day. We do see a few extreme spikes in traffic, which can be up to an order of magnitude above normal, when a major web site links to one of our news releases. Since initiating our social networking sites, we have seen an increase in these types of spikes, but it is too early to establish cause and effect in this case. Another unexpected finding is that we are reaching very different

  16. A Qualitative Study to Examine Feasibility and Design of an Online Social Networking Intervention to Increase Physical Activity in Teenage Girls

    Science.gov (United States)

    Van Kessel, Gisela; Kavanagh, Madeleine; Maher, Carol

    2016-01-01

    Background Online social networks present wide-reaching and flexible platforms through which to deliver health interventions to targeted populations. This study used a social marketing approach to explore teenage girls’ perceptions of physical activity and the potential use of online social networks to receive a physical activity intervention. Methods Six focus groups were conducted with 19 Australian teenage girls (ages 13 to 18 years) with varying levels of physical activity and socioeconomic status. A semi-structured format was used, with groups discussion transcribed verbatim. Content analysis identified emergent themes, with triangulation and memos used to ensure accuracy. Results Physical activity was most appealing when it emphasised sport, exercise and fitness, along with opportunities for socialisation with friends and self-improvement. Participants were receptive to delivery of a physical activity intervention via online social networks, with Facebook the most widely reported site. Participants commonly accessed online social networks via mobile devices and particularly smartphones. Undesirable features included promotion of physical activity in terms of walking; use of cartoon imagery; use of humour; and promotion of the intervention via schools, each of which were considered “uncool”. Participants noted that their parents were likely to be supportive of them using an online social networking physical activity intervention, particularly if not promoted as a weight loss intervention. Conclusion This study identified key features likely to increase the feasibility and retention of an online social networking physical activity intervention for teenage girls. Guidelines for the design of interventions for teenage girls are provided for future applications. PMID:26934191

  17. Analgesic effect of Facebook: Priming with online social networking may boost felt relatedness that buffers against physical pain.

    Science.gov (United States)

    Ho, Liang-Chu; Wu, Wen-Hsiung; Chiou, Wen-Bin

    2016-10-01

    Social networking sites (SNSs) are extremely popular for providing users with a convenient platform for acquiring social connections and thereby feeling relatedness. Plenty of literature has shown that mental representations of social support can reduce the perception of physical pain. The current study tested whether thinking about SNS would interfere with users' perceptions of experimentally induced pain. Ninety-six undergraduate Facebook users were recruited to participate in a priming-based experiment. They were randomly assigned to one of the three study conditions (SNS prime, neutral prime, or no prime) via rating the aesthetics of logos. The results showed that participants exposed to SNS primes reported less pain of immersion in hot water than did both control groups (neutral- and no-prime). Felt relatedness mediated the link between SNS primes and diminished pain perceptions. This research provides the first demonstration that thinking about SNS can lower experienced physical pain among Facebook users. Online social networking may serve as an analgesic buffer against pain experience than previously thought. The SNS-enabled analgesia has far reaching implications for pain relief applications and the enhancement of well-being in human-interaction techniques.

  18. Posting behaviour patterns in an online smoking cessation social network: implications for intervention design and development.

    Directory of Open Access Journals (Sweden)

    Benjamin Healey

    Full Text Available Online Cessation Support Networks (OCSNs are associated with increased quit success rates, but few studies have examined their use over time. We identified usage patterns in New Zealand's largest OCSN over two years and explored implications for OCSN intervention design and evaluation.We analysed metadata relating to 133,096 OCSN interactions during 2011 and 2012. Metrics covered aggregate network activity, user posting activity and longevity, and between-user commenting. Binary logistic regression models were estimated to investigate the feasibility of predicting low user engagement using early interaction data.Repeating periodic peaks and troughs in aggregate activity related not only to seasonality (e.g., New Year, but also to day of the week. Out of 2,062 unique users, 69 Highly Engaged Users (180+ interactions each contributed 69% of all OCSN interactions in 2012 compared to 1.3% contributed by 864 Minimally Engaged Users (< = 2 items each. The proportion of Highly Engaged Users increased with network growth between 2011 and 2012 (with marginal significance, but the proportion of Minimally Engaged Users did not decline substantively. First week interaction data enabled identification of Minimally Engaged Users with high specificity and sensitivity (AUROC= 0.94.Results suggest future research should develop and test interventions that promote activity, and hence cessation support, amongst specific user groups or at key time points. For example, early usage information could help identify Minimally Engaged Users for tests of targeted messaging designed to improve their integration into, or re-engagement with, the OCSN. Furthermore, although we observed strong growth over time on varied metrics including posts and comments, this change did not coincide with large gains in first-time user persistence. Researchers assessing intervention effects should therefore examine multiple measures when evaluating changes in network dynamics over time.

  19. Mesoscopic analysis of online social networks: The role of negative ties

    Science.gov (United States)

    Esmailian, Pouya; Abtahi, Seyed Ebrahim; Jalili, Mahdi

    2014-10-01

    A class of networks are those with both positive and negative links. In this manuscript, we studied the interplay between positive and negative ties on mesoscopic level of these networks, i.e., their community structure. A community is considered as a tightly interconnected group of actors; therefore, it does not borrow any assumption from balance theory and merely uses the well-known assumption in the community detection literature. We found that if one detects the communities based on only positive relations (by ignoring the negative ones), the majority of negative relations are already placed between the communities. In other words, negative ties do not have a major role in community formation of signed networks. Moreover, regarding the internal negative ties, we proved that most unbalanced communities are maximally balanced, and hence they cannot be partitioned into k nonempty sub-clusters with higher balancedness (k ≥2 ). Furthermore, we showed that although the mediator triad ++- (hostile-mediator-hostile) is underrepresented, it constitutes a considerable portion of triadic relations among communities. Hence, mediator triads should not be ignored by community detection and clustering algorithms. As a result, if one uses a clustering algorithm that operates merely based on social balance, mesoscopic structure of signed networks significantly remains hidden.

  20. Signed Networks in Social Media

    OpenAIRE

    Leskovec, Jure; Huttenlocher, Daniel; Kleinberg, Jon

    2010-01-01

    Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on social networks that has focused almost exclusively on positive interpretations of links between people, we study how the interplay between positive and negative relationships affects the structure of on-line social networks. We connect our analyses to theories of signed networks from social psychology. We find that the c...

  1. [Addiction to new technologies and to online social networking in young people: A new challenge].

    Science.gov (United States)

    Echeburúa, Enrique; de Corral, Paz

    2010-01-01

    The Internet and virtual social networks are new technologies that have had most impact on young people and have provided many benefits to their users. However, some people become obsessed with the Internet, are unable to control their use of it, and may put their work and relationships in jeopardy. This paper addresses the issue of the maladaptive use of these technologies. Internet use and abuse are related to psychosocial variables, such as psychological vulnerability, life stress and family and social support. There are some specific risk factors for abuse of virtual social networks among young people. Certain alarm signs appear before a hobby becomes an addiction. The concept of 'Internet addiction' has been proposed as an explanation for uncontrollable and harmful use of this technology. Symptoms of excessive Internet use can be identified with the criteria used to diagnose other chemical or non-chemical addictions. Prevention strategies in both home and school settings should be implemented on the basis of behavioral risk factors and demographic characteristics. The goal of treatment for this type of addiction, unlike the case of other addictions, cannot be total abstinence, but rather controlled use. The psychological treatment of choice appears to be stimulus control and gradual exposure to Internet, followed by a cognitive-behavioral intervention in relapse prevention. There is a need for more information about young Internet abusers and about the most appropriate programs for treating them. More research is required on the enhancement of motivation for treatment and the types of brief intervention available in relation to the problematic use of Internet among young people. The implications of the present review for clinical practice and possible future research directions in this field are discussed, as well as the problems as yet unsolved.

  2. Social Network Infiltration

    Science.gov (United States)

    Plait, Philip

    2008-05-01

    Social networks are websites (or software that distributes media online) where users can distribute content to either a list of friends on that site or to anyone who surfs onto their page, and where those friends can interact and discuss the content. By linking to friends online, the users’ personal content (pictures, songs, favorite movies, diaries, websites, and so on) is dynamically distributed, and can "become viral", that is, get spread rapidly as more people see it and spread it themselves. Social networks are immensely popular around the planet, especially with younger users. The biggest social networks are Facebook and MySpace; an IYA2009 user already exists on Facebook, and one will be created for MySpace (in fact, several NASA satellites such as GLAST and Swift already have successful MySpace pages). Twitter is another network where data distribution is more limited; it is more like a mini-blog, but is very popular. IYA2009 already has a Twitter page, and will be updated more often with relevant information. In this talk I will review the existing social networks, show people how and why they are useful, and give them the tools they need to contribute meaningfully to IYA's online reach.

  3. CSR communication through online social media

    Directory of Open Access Journals (Sweden)

    Araceli Castelló-Martínez, Ph.D.

    2012-01-01

    Full Text Available Online social networks such as Facebook and Twitter have become essential channels in business strategies. Corporate Social Responsibility communication faces new challenges in these spaces of the Web 2.0, where companies can interact with users, generate a brand community, increase their visibility, and strengthen their position in the market. This research study aims to analyse the way companies use the major online social media to communicate their Corporate Social Responsibility programmes. The methodology involves the examination of the presence in online social platforms and the online corporate reputation of ten companies/brands. The results show that companies use these spaces as channels for business and advertising communication, but not so much for Corporate Social Responsibility communication, despite these social media offer many possibilities for interaction and dialogue.

  4. On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure.

    Science.gov (United States)

    Volkova, Svitlana; Bachrach, Yoram

    2015-12-01

    Social media services such as Twitter and Facebook are virtual environments where people express their thoughts, emotions, and opinions and where they reveal themselves to their peers. We analyze a sample of 123,000 Twitter users and 25 million of their tweets to investigate the relation between the opinions and emotions that users express and their predicted psychodemographic traits. We show that the emotions that we express on online social networks reveal deep insights about ourselves. Our methodology is based on building machine learning models for inferring coarse-grained emotions and psychodemographic profiles from user-generated content. We examine several user attributes, including gender, income, political views, age, education, optimism, and life satisfaction. We correlate these predicted demographics with the emotional profiles emanating from user tweets, as captured by Ekman's emotion classification. We find that some users tend to express significantly more joy and significantly less sadness in their tweets, such as those predicted to be in a relationship, with children, or with a higher than average annual income or educational level. Users predicted to be women tend to be more opinionated, whereas those predicted to be men tend to be more neutral. Finally, users predicted to be younger and liberal tend to project more negative opinions and emotions. We discuss the implications of our findings to online privacy concerns and self-disclosure behavior.

  5. How the government's punishment and individual's sensitivity affect the rumor spreading in online social networks

    Science.gov (United States)

    Li, Dandan; Ma, Jing

    2017-03-01

    We explore the impact of punishment of governments and sensitivity of individuals on the rumor spreading in this paper. Considering the facts that some rumors that relate to the hot events could be disseminated repeatedly, however, some other rumors will never be disseminated after they have been popular for some time. Therefore, we investigate two types (SIS and SIR) of rumor spreading models in which the punishment of government and sensitivity of individuals are considered. Based on the mean-field method, we have calculated the spreading threshold of SIS and SIR model, respectively. Furthermore, we perform the rumor spreading process in the Facebook and POK social networks, and achieve that there is an excellent agreement between the theoretical and numerical results of spreading threshold. The results indicate that improving the punishment of government and increasing the sensitivity of individuals could control the spreading of rumor effectively.

  6. Signed Networks in Social Media

    CERN Document Server

    Leskovec, Jure; Kleinberg, Jon

    2010-01-01

    Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on social networks that has focused almost exclusively on positive interpretations of links between people, we study how the interplay between positive and negative relationships affects the structure of on-line social networks. We connect our analyses to theories of signed networks from social psychology. We find that the classical theory of structural balance tends to capture certain common patterns of interaction, but that it is also at odds with some of the fundamental phenomena we observe --- particularly related to the evolving, directed nature of these on-line networks. We then develop an alternate theory of status that better explains the observed edge signs and provides insights into the underlying social mechanisms. Our work provides one of the first large-scale evaluations of theories of signed networks using on-line datasets, as ...

  7. Co-Evolutionary Mechanisms of Emotional Bursts in Online Social Dynamics and Networks

    Directory of Open Access Journals (Sweden)

    Bosiljka Tadić

    2013-11-01

    Full Text Available Collective emotional behavior of users is frequently observed on various Web portals; however, its complexity and the role of emotions in the acting mechanisms are still not thoroughly understood. In this work, using the empirical data and agent-based modeling, a parallel analysis is performed of two archetypal systems—Blogs and Internet-Relayed-Chats—both of which maintain self-organized dynamics but not the same communication rules and time scales. The emphasis is on quantifying the collective emotions by means of fractal analysis of the underlying processes as well as topology of social networks, which arise and co-evolve in these stochastic processes. The results reveal that two distinct mechanisms, which are based on different use of emotions (an emotion is characterized by two components, arousal and valence, are intrinsically associated with two classes of emergent social graphs. Their hallmarks are the evolution of communities in accordance with the excess of the negative emotions on popular Blogs, on one side, and smooth spreading of the Bot’s emotional impact over the entire hierarchical network of chats, on the other. Another emphasis of this work is on the understanding of nonextensivity of the emotion dynamics; it was found that, in its own way, each mechanism leads to a reduced phase space of the emotion components when the collective dynamics takes place. That a non-additive entropy describes emotion dynamics, is further confirmed by computing the q-generalized Kolmogorov-Sinai entropy rate in the empirical data of chats as well as in the simulations of interacting emotional agents and Bots.

  8. Relationship between Social Networks Adoption and Social Intelligence

    Science.gov (United States)

    Gunduz, Semseddin

    2017-01-01

    The purpose of this study was to set forth the relationship between the individuals' states to adopt social networks and social intelligence and analyze both concepts according to various variables. Research data were collected from 1145 social network users in the online media by using the Adoption of Social Network Scale and Social Intelligence…

  9. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness.

    Science.gov (United States)

    Balatsoukas, Panos; Kennedy, Catriona M; Buchan, Iain; Powell, John; Ainsworth, John

    2015-06-11

    Social network technologies have become part of health education and wider health promotion—either by design or happenstance. Social support, peer pressure, and information sharing in online communities may affect health behaviors. If there are positive and sustained effects, then social network technologies could increase the effectiveness and efficiency of many public health campaigns. Social media alone, however, may be insufficient to promote health. Furthermore, there may be unintended and potentially harmful consequences of inaccurate or misleading health information. Given these uncertainties, there is a need to understand and synthesize the evidence base for the use of online social networking as part of health promoting interventions to inform future research and practice. Our aim was to review the research on the integration of expert-led health promotion interventions with online social networking in order to determine the extent to which the complementary benefits of each are understood and used. We asked, in particular, (1) How is effectiveness being measured and what are the specific problems in effecting health behavior change?, and (2) To what extent is the designated role of social networking grounded in theory? The narrative synthesis approach to literature review was used to analyze the existing evidence. We searched the indexed scientific literature using keywords associated with health promotion and social networking. The papers included were only those making substantial study of both social networking and health promotion—either reporting the results of the intervention or detailing evidence-based plans. General papers about social networking and health were not included. The search identified 162 potentially relevant documents after review of titles and abstracts. Of these, 42 satisfied the inclusion criteria after full-text review. Six studies described randomized controlled trials (RCTs) evaluating the effectiveness of online social

  10. Using the Internet, Online Social Networks and Potentially Incurred Risk: Student Opinions

    OpenAIRE

    Gintautė Žibėnienė; Dovilė Brasienė

    2013-01-01

    Regulation of harmful content on the Internet is a soaring problem in the expansion of the information society, and it is being discussed in different European countries. Therefore, it is important to discuss the issue of being safe online: to do research on what children think about when using the Internet, threats experienced while online, to discuss ways of recognising and protecting children from online threats (such as cyber bullying, bullying, abuse, temptations with purpose of sexual h...

  11. Can Health 2.0 Address Critical Healthcare Challenges? Insights from the Case of How Online Social Networks Can Assist in Combatting the Obesity Epidemic

    Directory of Open Access Journals (Sweden)

    Janine Hacker

    2017-03-01

    Full Text Available One of the serious concerns in healthcare in this 21st century is obesity. While the causes of obesity are multifaceted, social networks have been identified as one of the most important dimensions of people's social environment that may influence the adoption of many behaviours, including health-promoting behaviours. In this article, we examine the possibility of harnessing the appeal of online social networks to address the obesity epidemic currently plaguing society. Specifically, a design science research methodology is adopted to design, implement and test the Health 2.0 application called “Calorie Cruncher”. The application is designed specifically to explore the influence of online social networks on individual’s health-related behaviour. In this regard, pilot data collected based on qualitative interviews indicate that online social networks may influence health-related behaviours in several ways. Firstly, they can influence people’s norms and value system that have an impact on their health-related behaviours. Secondly, social control and pressure of social connections may also shape health-related behaviours, and operate implicitly when people make food selection decisions. Thirdly, social relationships may provide emotional support. Our study has implications for research and practice. From a theoretical perspective, the article inductively identifies three factors that influence specific types of health outcomes in the context of obesity. From a practical perspective, the study underscores the benefits of adopting a design science methodology to design and implement a technology solution for a healthcare issue as well as the key role for online social media to assist with health and wellness management and maintenance.

  12. Connecting the invisible dots: reaching lesbian, gay, and bisexual adolescents and young adults at risk for suicide through online social networks.

    Science.gov (United States)

    Silenzio, Vincent M B; Duberstein, Paul R; Tang, Wan; Lu, Naiji; Tu, Xin; Homan, Christopher M

    2009-08-01

    Young lesbian, gay, and bisexual (young LGB) individuals report higher rates of suicide ideation and attempts from their late teens through early twenties. Their high rate of Internet use suggests that online social networks offer a novel opportunity to reach them. This study explores online social networks as a venue for prevention research targeting young LGB. An automated data collection program was used to map the social connections between LGB self-identified individuals between 16 and 24 years old participating in an online social network. We then completed a descriptive analysis of the structural characteristics known to affect diffusion within such networks. Finally, we conducted Monte Carlo simulations of peer-driven diffusion of a hypothetical preventive intervention within the observed network under varying starting conditions. We mapped a network of 100,014 young LGB. The mean age was 20.4 years. The mean nodal degree was 137.5, representing an exponential degree distribution ranging from 1 through 4309. Monte Carlo simulations revealed that a peer-driven preventive intervention ultimately reached final sample sizes of up to 18,409 individuals. The network's structure is consistent with other social networks in terms of the underlying degree distribution. Such networks are typically formed dynamically through a process of preferential attachment. This implies that some individuals could be more important to target to facilitate the diffusion of interventions. However, in terms of determining the success of an intervention targeting this population, our simulation results suggest that varying the number of peers that can be recruited is more important than increasing the number of randomly-selected starting individuals. This has implications for intervention design. Given the potential to access this previously isolated population, this novel approach represents a promising new frontier in suicide prevention and other research areas.

  13. Analysis of patient organizations' needs and ICT use--The APTIC project in Spain to develop an online collaborative social network.

    Science.gov (United States)

    Hernández-Encuentra, Eulàlia; Gómez-Zúñiga, Beni; Guillamón, Noemí; Boixadós, Mercè; Armayones, Manuel

    2015-12-01

    The purpose of this first part of the APTIC (Patient Organisations and ICT) project is to design and run an online collaborative social network for paediatric patient organizations (PPOs). To analyse the needs of PPOs in Spain to identify opportunities to improve health services through the use of ICT. A convenience sample of staff from 35 PPOs (54.68% response rate) participated in a structured online survey and three focus groups (12 PPOs). Paediatric patient organizations' major needs are to provide accredited and managed information, increase personal support and assistance and promote joint commitment to health care. Moreover, PPOs believe in the Internet's potential to meet their needs and support their activities. Basic limitations to using the Internet are lack of knowledge and resources. The discussion of the data includes key elements of designing an online collaborative social network and reflections on health services provided. © 2014 John Wiley & Sons Ltd.

  14. Social Facilitation Effects by Pedagogical Conversational Agent: Lexical Network Analysis in an Online Explanation Task

    Science.gov (United States)

    Hayashi, Yugo

    2015-01-01

    The present study investigates web-based learning activities of undergraduate students who generate explanations about a key concept taught in a large-scale classroom. The present study used an online system with Pedagogical Conversational Agent (PCA), asked to explain about the key concept from different points and provided suggestions and…

  15. Online Learner Self-Regulation: Learning Presence Viewed through Quantitative Content- and Social Network Analysis

    Science.gov (United States)

    Shea, Peter; Hayes, Suzanne; Smith, Sedef Uzuner; Vickers, Jason; Bidjerano, Temi; Gozza-Cohen, Mary; Jian, Shou-Bang; Pickett, Alexandra M.; Wilde, Jane; Tseng, Chi-Hua

    2013-01-01

    This paper presents an extension of an ongoing study of online learning framed within the community of inquiry (CoI) model (Garrison, Anderson, & Archer, 2001) in which we further examine a new construct labeled as "learning presence." We use learning presence to refer to the iterative processes of forethought and planning,…

  16. Developing Online Learning Resources: Big Data, Social Networks, and Cloud Computing to Support Pervasive Knowledge

    Science.gov (United States)

    Anshari, Muhammad; Alas, Yabit; Guan, Lim Sei

    2016-01-01

    Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of…

  17. BRAND COMMUNICATION ON SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Otilia-Elena PLATON

    2015-07-01

    Full Text Available The communication represents a basic element for the marketing activity that helps companies to achieve their objectives. Building long-term relationships between brands and consumers is one of the most important objectives pursued by marketers. This involves brand communication and creating multiple connections with consumers, even in the online environment. From this point of view, social networks proved to be an effective way of linking brands and consumers online. This paper aims to present some aspects involved by the usage of social networks in brand communication by analyzing several examples of online marketing campaigns implemented on Facebook on the occasion of Valentine's Day by six different brands.

  18. Predicting Social Networking Site Use and Online Communication Practices among Adolescents: The Role of Access and Device Ownership

    OpenAIRE

    Drew P. Cingel; Alexis R. Lauricella; Ellen Wartella; Annie Conway

    2014-01-01

    Given adolescents' heavy social media use, this study examined a number of predictors of adolescent social media use, as well as predictors of online communication practices. Using data collected from a national sample of 467 adolescents between the ages of 13 and 17, results indicate that demographics, technology access, and technology ownership are related to social media use and communication practices. Specifically, females log onto and use more constructive com-munication practices on Fa...

  19. Analyzing negative ties in social networks

    OpenAIRE

    Mankirat Kaur; Sarbjeet Singh

    2016-01-01

    Online social networks are a source of sharing information and maintaining personal contacts with other people through social interactions and thus forming virtual communities online. Social networks are crowded with positive and negative relations. Positive relations are formed by support, endorsement and friendship and thus, create a network of well-connected users whereas negative relations are a result of opposition, distrust and avoidance creating disconnected networks. Due to increase i...

  20. Influence of Viral Marketing on Brand Equity Building With Reference To Online Social Networking Sites

    OpenAIRE

    Dr. Ashutosh Nigam

    2012-01-01

    In this research paper, author investigates the parameters of viral marketing effecting media (ediscussion, websites, online chat, email etc) parameters that have effect over the brand equity of different products and services. The study emphasizes on the antecedents of viral marketing influencing the brand equity of products and services through ISMBE Model. Finally, the study focuses on the marketer’s way of exploiting the power of electronic word-ofmouthcommunications among consumers throu...

  1. Eigenvector localization as a tool to study small communities in online social networks

    CERN Document Server

    Slanina, Frantisek; 10.1142/S0219525910002840

    2011-01-01

    We present and discuss a mathematical procedure for identification of small "communities" or segments within large bipartite networks. The procedure is based on spectral analysis of the matrix encoding network structure. The principal tool here is localization of eigenvectors of the matrix, by means of which the relevant network segments become visible. We exemplified our approach by analyzing the data related to product reviewing on Amazon.com. We found several segments, a kind of hybrid communities of densely interlinked reviewers and products, which we were able to meaningfully interpret in terms of the type and thematic categorization of reviewed items. The method provides a complementary approach to other ways of community detection, typically aiming at identification of large network modules.

  2. On the development of online cities and neighborhoods: an exploration of cumulative and segmentive network effects in social media

    NARCIS (Netherlands)

    Maris, I.; Huizinga, A; Bouman, W.; Tuunainen, V.K.; Rossi, M.; Nandhakumar, J.

    2011-01-01

    This paper outlines a research in progress set to study network effects in social media. The focus is on outlining the theoretical framework in which this study is embedded. The concepts of cumulative network effects and segmentive network effects are introduced to explain the processes by which

  3. On the development of online cities and neighborhoods: an exploration of cumulative and segmentive network effects in social media

    NARCIS (Netherlands)

    Maris, I.; Huizinga, A; Bouman, W.; Tuunainen, V.K.; Rossi, M.; Nandhakumar, J.

    2011-01-01

    This paper outlines a research in progress set to study network effects in social media. The focus is on outlining the theoretical framework in which this study is embedded. The concepts of cumulative network effects and segmentive network effects are introduced to explain the processes by which soc

  4. Use of social networking sites in online sex crimes against minors: an examination of national incidence and means of utilization.

    Science.gov (United States)

    Mitchell, Kimberly J; Finkelhor, David; Jones, Lisa M; Wolak, Janis

    2010-08-01

    To describe the variety of ways social networking sites (SNSs) are used to facilitate the sexual exploitation of youth, as well as identify victim, offender, and case differences between arrests, with and without a SNS nexus. Mail surveys were sent to a nationally representative sample of over 2,500 local, state, and federal law enforcement agencies in the United States. Follow-up detailed telephone interviews were conducted for 1,051 individual cases ending in an arrest for Internet-related sex crimes against minors in 2006. In the United States, an estimated 2,322 arrests (unweighted n = 291) for Internet sex crimes against minors involved SNSs in some way, including an estimated 503 arrests (unweighted n = 93) in cases involving identified victims and the use of SNSs by offenders (the majority of arrests involved undercover operations undertaken by police). SNSs were used to initiate sexual relationships, to provide a means of communication between victim and offender, to access information about the victim, to disseminate information or pictures about the victim, and to get in touch with victim's friends. A considerable number of arrests for Internet sex crimes against minors have a SNS nexus to them. The findings support previous claims that prevention messages should target youth behaviors rather than specific online locations where these crimes occur. In targeting behaviors, youth can take this knowledge with them online, regardless of whether they are using SNSs, chat rooms, or instant messaging. (c) 2010 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  5. The impact of online brand community type on consumer's community engagement behaviors: consumer-created vs. marketer-created online brand community in online social-networking web sites.

    Science.gov (United States)

    Lee, Doohwang; Kim, Hyuk Soo; Kim, Jung Kyu

    2011-01-01

    The current study proposed and tested a theoretical model of consumers' online brand community engagement behaviors, with particular attention given to online brand community type (consumer vs. marketer-created). By integrating attribution and social identity theories, this study investigated the causal linkages between intrinsic motives of altruism, social identification motivations, and online brand community engagement behaviors. The results showed that consumers' online brand community engagement intentions were indirectly influenced by the different types of communities through different levels of consumers' attributions to intrinsic motives of altruism. This study also found that, in the attribution processes, consumers' intrinsic motives of altruism motivated them to identify themselves socially with the online communities they join. Finally, this study demonstrated that the intrinsic motives of altruism and social identification motivations provided strong social incentives to motivate consumers to engage in subsequent online brand community behaviors.

  6. Evolution model of online social networks based on complex networks%复杂网络中的在线社交网络演化模型

    Institute of Scientific and Technical Information of China (English)

    王景丽; 许立波; 庞超逸

    2015-01-01

    在线社交网络是一种广泛存在的社会网络,其节点度遵循幂率分布规律,但对于其结构演化模型方面的相关研究还不多. 基于复杂网络理论研究在线社交网络内部结构特征,提出一种结合内增长、外增长及内部边更替的演化模型,借助平均场理论分析该模型的拓扑特性,实验和理论分析表明由该模型生成的网络,其度分布服从幂率分布,且通过调整参数,幂率指数在1~3,能较好地反映不同类型的真实在线社交网络的度分布特征,因此具有广泛适用性.%As a widespread social network , the node degree of online social networks has been proven by many re-searchers to follow the power-law distribution .However , there are few studies modeling the evolution of its struc-ture.In this paper , we propose an evolution model that combines the inside growth , outside growth , and edge re-placement based on those of complex networks .The topology properties of this model are analyzed using the mean-field theory .Experiment and theoretical analyses show that the degree of a node in a network generated by the new evolution model follows the power-law distribution and that the power-law index ranges between 1 and 3.Therefore , the proposed model can better reflect the node degree distribution characteristics of different types of real online so -cial networks and will have wide applicability .

  7. Influence of Viral Marketing on Brand Equity Building With Reference To Online Social Networking Sites

    Directory of Open Access Journals (Sweden)

    Dr. Ashutosh Nigam

    2012-01-01

    Full Text Available In this research paper, author investigates the parameters of viral marketing effecting media (ediscussion, websites, online chat, email etc parameters that have effect over the brand equity of different products and services. The study emphasizes on the antecedents of viral marketing influencing the brand equity of products and services through ISMBE Model. Finally, the study focuses on the marketer’s way of exploiting the power of electronic word-ofmouthcommunications among consumers through viral campaign because of its persuasive impact in influencing consumers.

  8. Commercial Online Social Network Data and Statin Side-Effect Surveillance: A Pilot Observational Study of Aggregate Mentions on Facebook.

    Science.gov (United States)

    Huesch, Marco D

    2017-07-26

    Surveillance of the safety of prescribed drugs after marketing approval has been secured remains fraught with complications. Formal ascertainment by providers and reporting to adverse-event registries, formal surveys by manufacturers, and mining of electronic medical records are all well-known approaches with varying degrees of difficulty, cost, and success. Novel approaches may be a useful adjunct, especially approaches that mine or sample internet-based methods such as online social networks. A novel commercial software-as-a-service data-mining product supplied by Sysomos from Datasift/Facebook was used to mine all mentions on Facebook of statins and stain-related side effects in the US in the 1-month period 9 January 2017 through 8 February 2017. A total of 4.3% of all 25,700 mentions of statins also mentioned typical stain-related side effects. Multiple methodological weaknesses stymie interpretation of this percentage, which is however not inconsistent with estimates that 5-20% of patients taking statins will experience typical side effects at some time. Future work on pharmacovigilance may be informed by this novel commercial tool, but the inability to mine the full text of a posting poses serious challenges to content categorization.

  9. Unbiased Sampling Technologies on Online Social Network%在线社会网络无偏采样技术

    Institute of Scientific and Technical Information of China (English)

    王栋; 李振宇; 谢高岗

    2016-01-01

    As the popular platform for content sharing and information diffusion , online social network (OSN ) ,such as Facebook and Twitter ,have attracted massive researchers in analysis .While using complete datasets provided by the OSN companies can generate the best results ,it is hard ,if possible ,for researchers to get such datasets as most OSN companies are reluctant to share their data in order to protect the users’ privacy .Besides ,it may require unreasonable time to get the results in analysis ,given the huge amount of data . The alternative is to obtain features of the complete networks based on representative samples .Therefore ,how to get unbiased samples or make unbiased estimations on OSN becomes the key premise of OSN research .A general summary of the unbiased sampling technologies on OSN is provided .The general necessary and sufficient condition for unbiased sampling of large-scale networks is studied mathematically at first ,and then the performances of the widely-used sampling technologies are compared from the perspectives of sampling principle ,sampling bias and sampling efficiency .Finally ,the trend in development of sampling technologies on OSN is discussed .This summary can provide the OSN researchers with a valuable reference for use and analysis of sampling technologies .%作为当前流行的内容共享和信息传播的平台,在线社会网络(online social network ,OSN )(例如 Facebook 和 Twitter)已经吸引了各个领域研究人员的关注。然而,研究者通常很难获取完整的在线社会网络数据集,取而代之的是通过一个具有代表性样本集来估计完整网络的特性。因此,怎样获得无偏样本集或对网络特性进行无偏估算成为了 OSN 研究的关键前提。对在线社会网络的无偏采样技术研究现状进行了综述分析。首先在理论上给出了大规模网络无偏采样的充分必要条件,接着从采样原理、采样偏见性和采样效率3

  10. The Relationship Between Online Social Network Use, Sexual Risk Behaviors, and HIV Sero-Status Among a Sample of Predominately African American and Latino Men Who have Sex with Men (MSM) Social Media Users.

    Science.gov (United States)

    Chiu, ChingChe J; Young, Sean D

    2015-06-01

    Social networking technologies have emerged as potential platforms to reach HIV(+) MSM in HIV interventions. This study sought to compare use of online social networking sites (SNSs) and sexual risk behaviors between HIV(+) and HIV(-) individuals among a sample of predominately African American and Latino SNS-using MSM. A total of 112 MSM Facebook users were recruited online and offline and completed an online survey. We performed regression models to assess the association between HIV status, SNS use, and sexual risk behaviors. After adjusting for age, race, and employment status, being HIV positive was significantly associated with a greater number of sexual partners (ARR = 2.84, p = 0.0017) and lower comfort levels of discussing HIV/STI status on SNSs (AOR: 0.23, p = 0.011). Findings suggest that HIV status is associated with sexual risk behaviors and SNS use among SNS-using MSM. We discuss the implications for online HIV prevention.

  11. Data Mining on Social Interaction Networks

    OpenAIRE

    Atzmueller, Martin

    2013-01-01

    Social media and social networks have already woven themselves into the very fabric of everyday life. This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts, both in online networks and the real world using ubiquitous devices. In this work, we consider social interaction networks from a data mining perspective - also with a special focus on real-world face-to-face contact networks: We combine data mining and social netwo...

  12. Interplay of homophily and communication in online social networks: Wikipedia-based semantic metric application on Twitter

    CERN Document Server

    Sćepanović, Sanja; Gonçalves, Bruno; Hieu, Nguyen Trung; Hui, Pan

    2016-01-01

    People are observed to assortitavely connect on a set of traits. Uncovering the reasons for people exhibiting this strong assortative mixing in social networks is of great interest to researchers and in practice. A popular case application exploiting the insights about social correlation in social networks is in marketing and product promotion. Suggested tendencies to induce observed social correlation are homophily and social influence. However, clearly identifying the causal relationship between these tendencies has proven to be a hard task. In this study we present the interplay between communication happening on Twitter (represented by user mentions) and different semantical aspects of user communication content (tweets). As a semantic relatedness metric we employ a database built from the English Wikipedia corpus according to the Explicit Semantic Analysis method. Our work, to the best of our knowledge, is the first to offer an in-depth analysis on semantic homophily on communication in social networks. ...

  13. Can You See Me Now? Audience and Disclosure Regulation in Online Social Network Sites

    Science.gov (United States)

    Tufekci, Zeynep

    2008-01-01

    The prevailing paradigm in Internet privacy literature, treating privacy within a context merely of rights and violations, is inadequate for studying the Internet as a social realm. Following Goffman on self-presentation and Altman's theorizing of privacy as an optimization between competing pressures for disclosure and withdrawal, the author…

  14. 社交网络下网络互动对购买意愿的影响因素研究%Study on Influence of Online Interaction on Purchase Intention in Online Social Network

    Institute of Scientific and Technical Information of China (English)

    程振宇; 杜惠英; 吕廷杰

    2012-01-01

    The integration of social network websites and e-commerce will be one of the development trends of future online social network. In order to comprehensively and systematically understand the influencing factors of users' purchase intention in social network, this paper, based on reviews of relevant literature and taking trust as an intermediate variable, classifies online interaction into four dimensions : places of online interaction, characteristics of online interaction, modes of online interaction and objects of online interaction. Through data analysis, the results show that objects of online interaction have a positive effect on users' trust, and further influ- ence users' purchase intention.%社交网络和电子商务的结合是未来社交网络的发展趋势之一。为了全面、系统地了解社交网络中用户购买意愿的影响因素,在综合整理和分析已有文献的基础上,以信任作为中间变量,以网络互动为切人点,把网络互动分成互动场所、互动特性、互动方式和互动对象四类进行研究。通过实证数据分析发现,互动对象因素会正向影响网络用户的信任感知,进而影响用户的购买意愿。

  15. Mesoscopic analysis of online social networks - The role of negative ties

    CERN Document Server

    Esmailian, Pouya; Jalili, Mahdi

    2014-01-01

    A class of networks are those with both positive and negative links.In this manuscript, we studied the interplay between positive and negative ties on mesoscopic level of these networks, i.e., their community structure.A community is considered as a tightly interconnected group of actors; therefore, it does not borrow any assumption from balance theory and merely uses the well-known assumption in the community detection literature.We found that if one detects the communities based on only positive relations (by ignoring the negative ones), the majority of negative relations are already placed between the communities.In other words, negative ties do not have a major role in community formation of signed networks.Moreover, regarding the internal negative ties, we proved that most unbalanced communities are maximally balanced, and hence they cannot be partitioned into k nonempty sub-clusters with higher balancedness (k >= 2).Furthermore, we showed that although the mediator triad + + - (hostile-mediator-hostile)...

  16. 国内外在线社会网络研究综述%Review of Online Social Network Research at Home and Abroad

    Institute of Scientific and Technical Information of China (English)

    刘晶; 李永先; 薛伟莲

    2011-01-01

    在线社会网络(Online Social Network)是Web2.0的重要组成部分,在介绍在线社会网络的特点的基础上,从应用角度分析了在线社会网络各种表现形式及相关研究成果,提出了在线社会网络进一步研究方向.

  17. The research of information dissemination model on online social network%基于在线社交网络的信息传播模型

    Institute of Scientific and Technical Information of China (English)

    张彦超; 刘云; 张海峰; 程辉; 熊菲

    2011-01-01

    本文构造了一个基于在线社交网络的信息传播模型.该模型考虑了节点度和传播机理的影响,结合复杂网络和传染病动力学理论,进一步建立了动力学演化方程组.该方程组刻画了不同类型节点随着时间的演化关系,反映了传播动力学过程受到网络拓扑结构和传播机理的影响.本文模拟了在线社交网络中的信息传播过程,并分析了不同类型节点在网络中的行为规律.仿真结果表明:由于在线社交网络的高度连通性,信息在网络中传播的门槛几乎为零;初始传播节点的度越大,信息越容易在网络中迅速传播;中心节点具有较大的社会影响力;具有不同度数的节点在网络中的变化趋势大体相同.研究表明该模型符合在线社交网络的特性,有助于更深刻地理解发生在在线社交网络中的传播行为.%In this paper, we propose a general stochastic model for the information dissemination on the online social network.The model considers the node of degree and propagation mechanism, utilizes complex network theory and dynamics of infectious diseases, and finally establishes the dynamic evolution equations. The dynamic evolution equations describe the evolution process of different types of nodes, and show that the propagation process is influenced by network topology and propagation mechanism. We simulate the information spreading process, and analyze the behavior of different types of nodes on online social network. Simulation results show that information can spread easily on the online social network because of the good connectivity. The greater the degree of the initial spread node, the faster the information spreads on online social network. Center nodes have great social influence, and the nodes with different degrees have the similar trend on online social network. Research shows that the model, having the same characteristics with online social network,contributes to a more profound

  18. Structural Changes in Online Discussion Networks

    DEFF Research Database (Denmark)

    Yang, Yang; Medaglia, Rony

    2014-01-01

    Social networking platforms in China provide a hugely interesting and relevant source for understanding dynamics of online discussions in a unique socio-cultural and institutional environment. This paper investigates the evolution of patterns of similar-minded and different-minded interactions over...

  19. Online social media analysis and visualization

    CERN Document Server

    Kawash, Jalal

    2015-01-01

    This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techn

  20. Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network

    Science.gov (United States)

    2015-05-22

    Shreyasi Das1, Niloy Ganguly1, and Saptarshi Ghosh2,3 1 Department of CSE, Indian Institute of Technology Kharagpur, Kharagpur, India koustav.rudra...and Technology Shibpur, Howrah, India Abstract. To help users find popular topics of discussion, Twitter peri- odically publishes ‘trending topics...considering that it is a complex nine-class classification task. 3 URLs leading to social media sites like Facebook, Twitter, Instagram, are ignored

  1. Mass media, online social network, and organ donation: old mistakes and new perspectives.

    Science.gov (United States)

    Aykas, A; Uslu, A; Şimşek, C

    2015-05-01

    Contrary to TV programs projecting awareness about organ donation in society, concrete evidence exists about adverse influence of negative broadcasts on organ donation rates. We sought to determine the effect of mass media on public opinion toward organ donation and the efficacy of public campaigns and novel social media attempts on donation rates. We conducted a systematic review of relevant literature and national campaign results. Hoaxes about brain death and organ transplantation adversely affect organ donation rates in both Western and Eastern societies. Scientifically controversial and exaggerated press conferences and institutional advertisements create mistrust in doctors, thus reducing organ donation. The overall effect of public education campaigns in promoting organ donation is a temporary 5% gain. Increments in organ donation rates is expected with novel applications of social media (Facebook effect). Communication, based on mutual trust, must be established between medicine and the media. Continuing education programs with regard to public awareness on organ donation should be conducted over social media. Copyright © 2015 Elsevier Inc. All rights reserved.

  2. 在线社交网络中好友亲密度判定方法研究%Research on Friendship Intimacy Calculation in Online Social Network

    Institute of Scientific and Technical Information of China (English)

    刘峰

    2013-01-01

    Unlike real life friendship ,most Online Social Networks only allow to make a binary type of friendship where an individual either is a friend of another individual or not .This kind of friendship definition brings numerous issues in Online Social Networks ,mostly related to the privacy .In this paper ,we argue to incorporate a functionality with current Online Social Networks that automatically calculates the relationship strength between individuals by using their interaction data and introduces a semi-automatic privacy control framework based on friendship intimacy .%与现实生活中的朋友关系不同,多数的在线社交网络系统为每个人只设定一个简单的二元好友联系,即要么是朋友,要么不是。这种好友关系的定义为个人隐私信息的保护带来了许多问题。分析了一种基于当前社交网络平台的互动信息自动判定好友亲密度方法,并结合该方法提出了一种半自动的隐私控制框架。

  3. A Generic Framework for Extraction of Knowledge from Social Web Sources (Social Networking Websites) for an Online Recommendation System

    Science.gov (United States)

    Sathick, Javubar; Venkat, Jaya

    2015-01-01

    Mining social web data is a challenging task and finding user interest for personalized and non-personalized recommendation systems is another important task. Knowledge sharing among web users has become crucial in determining usage of web data and personalizing content in various social websites as per the user's wish. This paper aims to design a…

  4. Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks

    Directory of Open Access Journals (Sweden)

    Yaming Zhang

    2014-01-01

    Full Text Available Traditional empirical models of propagation consider individual contagion as an independent process, thus spreading in isolation manner. In this paper, we study how different contagions interact with each other as they spread through the network in order to propose an alternative dynamics model for information propagation. The proposed model is a novel combination of Lotka-Volterra cooperative model and competitive model. It is assumed that the interaction of one message on another is flexible instead of always negative. We prove that the impact of competition depends on the critical speed of the messages. By analyzing the differential equations, one or two stable equilibrium points can be found under certain conditions. Simulation results not only show the correctness of our theoretical analyses but also provide a more attractive conclusion. Different types of messages could coexist in the condition of high critical speed and intense competitive environment, or vice versa. The messages will benefit from the high critical speed when they are both competitive, and adopting a Tit-for-Tat strategy is necessary during the process of information propagation.

  5. A survey of online social networking used to support health awareness campaigns in the City of Johannesburg metropolitan municipality

    Directory of Open Access Journals (Sweden)

    Karin Eloff

    2014-03-01

    Full Text Available Background: The Department of Health (DoH at the City of Johannesburg metropolitan municipality in South Africa develops various health awareness campaigns aimed at creating awareness of general health risks within the Johannesburg area. According to staff members of the DoH, the resources utilised in the current campaigns fail to reach a sufficiently broad audience and the campaigns struggle to deliver the intended messages. Furthermore, the development and implementation of campaigns are time consuming and costly.Objectives: This research focused on how online social networking (OSN can support health awareness campaigns for the DoH in the Johannesburg region. OSN may be regarded as a tool that will assist the DoH to reach a wider audience, send health-related messages and provide a two-way communication channel.Method: The research used an exploratory research design with a purposive non-probability sample. A survey was used as the data collection instrument. Statistical analysis was performed on the data obtained from the surveys.Results: The results indicate that the DoH can benefit from the use of OSN in health promotion campaigns. The benefits include, but are not limited to, an increase in engagement with the target market, ease of use and reach within the specified audience.Conclusion: Although there are numerous advantages associated with the integration of OSN by the DoH, the DoH needs to develop training and development programmes for OSN to encourage its use by DoH staff members. The main aim of the programmes is to create internal OSN capabilities to support the OSN strategy.

  6. Application of actor level social characteristic indicator selection for the precursory detection of bullies in online social networks

    Science.gov (United States)

    White, Holly M.; Fields, Jeremy; Hall, Robert T.; White, Joshua S.

    2016-05-01

    Bullying is a national problem for families, courts, schools, and the economy. Social, educational, and professional lives of victims are affected. Early detection of bullies mitigates destructive effects of bullying. Our previous research found, given specific characteristics of an actor, actor logics can be developed utilizing input from natural language processing and graph analysis. Given similar characteristics of cyberbullies, in this paper, we create specific actor logics and apply these to a select social media dataset for the purpose of rapid identification of cyberbullying.

  7. Privacy in Social Networks

    CERN Document Server

    Zheleva, Elena

    2012-01-01

    This synthesis lecture provides a survey of work on privacy in online social networks (OSNs). This work encompasses concerns of users as well as service providers and third parties. Our goal is to approach such concerns from a computer-science perspective, and building upon existing work on privacy, security, statistical modeling and databases to provide an overview of the technical and algorithmic issues related to privacy in OSNs. We start our survey by introducing a simple OSN data model and describe common statistical-inference techniques that can be used to infer potentially sensitive inf

  8. When Sharing Is a Bad Idea: The Effects of Online Social Network Engagement and Sharing Passwords with Friends on Cyberbullying Involvement.

    Science.gov (United States)

    Meter, Diana J; Bauman, Sheri

    2015-08-01

    Every day, children and adolescents communicate online via social networking sites (SNSs). They also report sharing passwords with peers and friends, a potentially risky behavior in regard to cyber safety. This longitudinal study tested the hypotheses that social network engagement in multiple settings would predict more cyberbullying involvement over time, and that youth who reported sharing passwords would also experience an increase in cyberbullying involvement. Data were collected at two time points one year apart from 1,272 third through eighth grade students. In line with the first study hypothesis, participating in more online SNSs was associated with increased cyberbullying involvement over time, as well as sharing passwords over time. Cyberbullying involvement at T1 predicted decreases in sharing passwords over time, suggesting that youth become aware of the dangers of sharing passwords as a result of their experience. Sharing passwords at T1 was unrelated to cyberbullying involvement at T2. Although it seems that youth may be learning from their previous mistakes, due to the widespread use of social media and normality of sharing passwords among young people, it is important to continue to educate youth about cyber safety and risky online behavior.

  9. Visualization of Social Networks

    NARCIS (Netherlands)

    Boertjes, E.M.; Kotterink, B.; Jager, E.J.

    2011-01-01

    Current visualizations of social networks are mostly some form of node-link diagram. Depending on the type of social network, this can be some treevisualization with a strict hierarchical structure or a more generic network visualization.

  10. Hierarchical sequencing of online social graphs

    CERN Document Server

    Andjelković, Miroslav; Maletić, Slobodan; Rajković, Milan

    2014-01-01

    In online communications, patterns of conduct of individual actors and use of emotions in the process can lead to a complex social graph exhibiting multilayered structure and mesoscopic communities. Using simplicial complexes representation of graphs, we investigate in-depth topology of online social network which is based on MySpace dialogs. The network exhibits original community structure. In addition, we simulate emotion spreading in this network that enables to identify two emotion-propagating layers. The analysis resulting in three structure vectors quantifies the graph's architecture at different topology levels. Notably, structures emerging through shared links, triangles and tetrahedral faces, frequently occur and range from tree-like to maximal 5-cliques and their respective complexes. On the other hand, the structures which spread only negative or only positive emotion messages appear to have much simpler topology consisting of links and triangles. Furthermore, we introduce the node's structure vec...

  11. Churn in Social Networks

    Science.gov (United States)

    Karnstedt, Marcel; Hennessy, Tara; Chan, Jeffrey; Basuchowdhuri, Partha; Hayes, Conor; Strufe, Thorsten

    In the past, churn has been identified as an issue across most industry sectors. In its most general sense it refers to the rate of loss of customers from a company's customer base. There is a simple reason for the attention churn attracts: churning customers mean a loss of revenue. Emerging from business spaces like telecommunications (telcom) and broadcast providers, where churn is a major issue, it is also regarded as a crucial problem in many other businesses, such as online games creators, but also online social networks and discussion sites. Companies aim at identifying the risk of churn in its early stages, as it is usually much cheaper to retain a customer than to try to win him or her back. If this risk can be accurately predicted, marketing departments can target customers efficiently with tailored incentives to prevent them from leaving.

  12. Public and private dichotomy: social networking in higher education

    OpenAIRE

    Benson, Vladlena

    2011-01-01

    While the use of online social networking services (SNS) is still largely attributed to leisure communication, online social networking services are gaining popularity in education and business. Social networks tie individuals together and online social networking services enable these ties through technology. People flock to web sites like Facebook, MySpace, and Tribe.net to keep in touch with friends, interest groups and family, communicate and share news about them. User friendliness of s...

  13. Online social networking services in the management of patients with diabetes mellitus: systematic review and meta-analysis of randomised controlled trials.

    Science.gov (United States)

    Toma, Tania; Athanasiou, Thanos; Harling, Leanne; Darzi, Ara; Ashrafian, Hutan

    2014-11-01

    Social networking services (SNS) can facilitate real-time communication and feedback of blood glucose and other physiological data between patients and healthcare professionals. This systematic review and meta-analysis aims to summarise the current evidence surrounding the role of online social networking services in diabetes care. We performed a systematic literature review of the Medline, EMBASE and PsychINFO databases of all studies reporting HbA1c (glycated haemoglobin) as a measure of glycaemic control for social networking services in diabetes care. HbA1c, clinical outcomes and the type of technology used were extracted. Study quality and publication bias were assessed. SNS interventions beneficially reduced HbA1c when compared to controls, which was confirmed by sensitivity analysis. SNS interventions also significantly improved systolic and diastolic blood pressure, triglycerides and total cholesterol. Subgroup analysis according to diabetes type demonstrated that Type 2 diabetes patients had a significantly greater reduction in HbA1c than those with Type 1 diabetes. Online SNS provide a novel, feasible approach to improving glycaemic control, particularly in patients with Type 2 diabetes. Further mechanistic and cost-effectiveness studies are required to improve our understanding of SNS and its efficacy in diabetes care. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  14. Introduction to Social Network Analysis

    Science.gov (United States)

    Zaphiris, Panayiotis; Ang, Chee Siang

    Social Network analysis focuses on patterns of relations between and among people, organizations, states, etc. It aims to describe networks of relations as fully as possible, identify prominent patterns in such networks, trace the flow of information through them, and discover what effects these relations and networks have on people and organizations. Social network analysis offers a very promising potential for analyzing human-human interactions in online communities (discussion boards, newsgroups, virtual organizations). This Tutorial provides an overview of this analytic technique and demonstrates how it can be used in Human Computer Interaction (HCI) research and practice, focusing especially on Computer Mediated Communication (CMC). This topic acquires particular importance these days, with the increasing popularity of social networking websites (e.g., youtube, myspace, MMORPGs etc.) and the research interest in studying them.

  15. Noise and Feedback in Online Communication on Sex: A Study of Nigerian’s Conversations on Pornography in Nollywood on Social Networks

    Directory of Open Access Journals (Sweden)

    F. P. C. Endong

    2015-11-01

    Full Text Available Social networks constitute a suitable forum for debate, and exchange on any sort of topic especially highly sensitive issues. They offer a fertile platform for debate on thorny societal issues such as politics, sex, culture and religion among others. Given the fact that they favor anonymity, openness and non-accountability for voiced opinion, a good number of Nigerians have found them suitable for, “hot”, “aggressive” and very passionate discussions over subjects like sex, sexuality and religious convictions – issues which have remarkably remained somehow taboos in the Nigerian society. This paper investigates the conduct of online debates and opinion formation on sex in the prolific Nigerian motion picture industry (Nollywood. It is based on the content analysis of 516 comments by Nigerians, reacting or debating online (in social networks on pornography in the Nigerian film industry. The paper seeks to explore and quantify the phenomenon of noise in online communication (conservation and debate on sex by Nigerians. It equally examines how this noise affects communication flow in online debate on pornography in the Nigerian film industry. It argues that being somewhat considerable, noise in such a communication context, is mainly psychological in nature, due principally to the dominance of conservative beliefs on sex and pornography in the Nigerian society. This conservatism motivates most Nigerians to mainly have preconceived stereotypes, notions and biases on sex and pornography and to adopt judgmental and censuring reactions to most attempts to celebrate pornography. The effect of the psychological noise (as observed in online conversation on pornography is mainly to orchestrate a change of topic from sex to other sensitive issues as politics and religion or engender insults and counter insults which further negatively affect communication.

  16. Does Online Social Media Lead to Social Connection or Social Disconnection?

    Science.gov (United States)

    Twenge, Jean M.

    2013-01-01

    Today’s young generation (often called "Millennials," "GenY," or "Generation Me") are the first to grow up with the Internet and social networking websites. Have these experiences led to more and better social connections, or fewer and atrophied ones? Social media use may lead to online political action such as signing an e-mail petition but does…

  17. Does Online Social Media Lead to Social Connection or Social Disconnection?

    Science.gov (United States)

    Twenge, Jean M.

    2013-01-01

    Today’s young generation (often called "Millennials," "GenY," or "Generation Me") are the first to grow up with the Internet and social networking websites. Have these experiences led to more and better social connections, or fewer and atrophied ones? Social media use may lead to online political action such as signing an e-mail petition but does…

  18. Privacy and Social Networking Sites

    Science.gov (United States)

    Timm, Dianne M.; Duven, Carolyn J.

    2008-01-01

    College students are relying on the Internet to make connections with other people every day. As the Internet has developed and grown, so have the capabilities for interaction. Social networking sites, a group of Web sites that provide people with the opportunity to create an online profile and to share that profile with others, are a part of…

  19. Node Classification in Social Networks

    Science.gov (United States)

    Bhagat, Smriti; Cormode, Graham; Muthukrishnan, S.

    When dealing with large graphs, such as those that arise in the context of online social networks, a subset of nodes may be labeled. These labels can indicate demographic values, interest, beliefs or other characteristics of the nodes (users). A core problem is to use this information to extend the labeling so that all nodes are assigned a label (or labels).

  20. Effects of Beliefs and Concerns on User Attitudes toward Online Social Network Advertising and Their Ad Clicking Behavior

    Directory of Open Access Journals (Sweden)

    Imran Mir

    2015-08-01

    Full Text Available Since last few years social network sites (SNSs have rapidly grown in popularity and user acceptance globally. They have become the main place for social interaction, discussion and communication. Today, many businesses advertise their products on SNSs. The current study aims to assess the effects of SNSs consumers/users’ beliefs and concerns of social network advertising (SNA on their attitudes toward SNA and SNS banner ad-clicking behavior. Data was collected from a sample of 397 university students of Pakistan. Results show the beliefs of SNA as informative and entertaining have positive effects on user attitudes toward SNA and their ad-clicking behavior. Similarly, user concern of SNA as irritating has negative effects on both their attitudes toward SNA and ad-clicking behavior. Good for economy is an important socioeconomic belief which affects user attitudes toward SNA positively. The overall results indicate that utilitarian and hedonic aspects of SNA make SNS banner ads effective.

  1. Social network data analytics

    CERN Document Server

    Aggarwal, Charu C

    2011-01-01

    Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Pr

  2. Social networks user: current research

    Directory of Open Access Journals (Sweden)

    Agadullina E.R.

    2015-12-01

    Full Text Available The purpose of this article is to review current research studies focusing on the users of Facebook and their behaviors in social networks. This review is organized into two sections: 1 social-demographic characteristics (Age, Gender, Nationality; 2 personality characteristics (Neuroticism, Extraversion, Openness-to-Experience, Agreeableness, Conscientiousness, Narcissism, Self-esteem. The results showed that the information in the personal profile and online behavior are strongly connected with socio-demographic and personality characteristics

  3. Wayfinding in Social Networks

    Science.gov (United States)

    Liben-Nowell, David

    With the recent explosion of popularity of commercial social-networking sites like Facebook and MySpace, the size of social networks that can be studied scientifically has passed from the scale traditionally studied by sociologists and anthropologists to the scale of networks more typically studied by computer scientists. In this chapter, I will highlight a recent line of computational research into the modeling and analysis of the small-world phenomenon - the observation that typical pairs of people in a social network are connected by very short chains of intermediate friends - and the ability of members of a large social network to collectively find efficient routes to reach individuals in the network. I will survey several recent mathematical models of social networks that account for these phenomena, with an emphasis on both the provable properties of these social-network models and the empirical validation of the models against real large-scale social-network data.

  4. Effects of Pre-Purchase Search Motivation on User Attitudes toward Online Social Network Advertising: A Case of University Students

    Directory of Open Access Journals (Sweden)

    Imran A Mir

    2014-06-01

    Full Text Available Since last few years, social media have profoundly changed the ways of social and business communication. Particularly, social network sites (SNSs have rapidly grown in popularity and number of users globally. They have become the main place for social interaction, discussion and communication. Today, businesses of various types use SNSs for commercial communication. Banner advertising is one of the common methods of commercial communication on SNSs. Advertising is a key source of revenue for many SNSs firms such as Facebook. In fact, the existence of many SNSs owners and advertisers is contingent upon the success of social network advertising (SNA. Users demand free SNS services which makes SNA crucial for SNSs firms. SNA can be effective only if it is aligned with user motivations. Marketing literature identifies pre-purchase search as a primary consumer motivation for using media. The current study aims to identify the effects of pre-purchase search motivation (PSM on user attitudes toward SNA. It also assesses the association between the attitudes toward SNA and users’ banner ad-clicking behavior on SNSs. Data was gathered from 200 university students in Islamabad using offline survey. Results show positive effects of PSM on user attitudes toward SNA. They also show positive association between user attitudes toward SNA and their SNS banner ad-clicking behavior. The firms which promote their products through SNSs to the young South Asian consumers may benefit from the findings of the current study.

  5. Online Social Activity Reflects Economic Status

    CERN Document Server

    Liu, Jin-Hu; Shao, Junming; Zhou, Tao

    2015-01-01

    To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growth are widely applied. However, computing these indices based on traditional economic census is usually costly and resources consuming, and more importantly, following a long time delay. In this paper, we analyzed nearly 200 million users' activities for four consecutive years in the largest social network (Sina Microblog) in China, aiming at exploring latent relationships between the online social activities and local economic status. Results indicate that online social activity has a strong correlation with local economic development and industrial structure, and more interestingly, allows revealing the macro-economic structure instantaneously with nearly no cost. Beyond, this work also provides a new venue to identify risky signal in local economic structure.

  6. Online social activity reflects economic status

    Science.gov (United States)

    Liu, Jin-Hu; Wang, Jun; Shao, Junming; Zhou, Tao

    2016-09-01

    To characterize economic development and diagnose the economic health condition, several popular indices such as gross domestic product (GDP), industrial structure and income growth are widely applied. However, computing these indices based on traditional economic census is usually costly and resources consuming, and more importantly, following a long time delay. In this paper, we analyzed nearly 200 million users' activities for four consecutive years in the largest social network (Sina Microblog) in China, aiming at exploring latent relationships between the online social activities and local economic status. Results indicate that online social activity has a strong correlation with local economic development and industrial structure, and more interestingly, allows revealing the macro-economic structure instantaneously with nearly no cost. Beyond, this work also provides a new venue to identify risky signal in local economic structure.

  7. Measuring online social bubbles

    Directory of Open Access Journals (Sweden)

    Dimitar Nikolov

    2015-12-01

    Full Text Available Social media have become a prevalent channel to access information, spread ideas, and influence opinions. However, it has been suggested that social and algorithmic filtering may cause exposure to less diverse points of view. Here we quantitatively measure this kind of social bias at the collective level by mining a massive datasets of web clicks. Our analysis shows that collectively, people access information from a significantly narrower spectrum of sources through social media and email, compared to a search baseline. The significance of this finding for individual exposure is revealed by investigating the relationship between the diversity of information sources experienced by users at both the collective and individual levels in two datasets where individual users can be analyzed—Twitter posts and search logs. There is a strong correlation between collective and individual diversity, supporting the notion that when we use social media we find ourselves inside “social bubbles.” Our results could lead to a deeper understanding of how technology biases our exposure to new information.

  8. Profiles of social networking sites users in the Netherlands

    OpenAIRE

    Constantinides, Efthymios; Alarcón del Amo, Maria del Carmen; Lorenzo Romero, Carlota

    2010-01-01

    Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities. From the commercial perspective, the SNS are an interesting and promising field: online social networks are important sources of market intelligence and also offer interesting options for co-operat...

  9. Social Networking Sites: A premise on enhancement

    Directory of Open Access Journals (Sweden)

    MANINDERPAL SINGH SAINI

    2013-12-01

    Full Text Available This article address five constructs that are paramount toward continued evolution of social networking sites (SNS`s they include, - stabilisation, visual, language, security and flexibility. These constructs add to our proposed framework. Firmly grounded research on social networking sites and literature, we propose that user feedback, is the critical component that stimulates the development and growth of social networking sites online. We offer a framework that can aid new and current social networking sites toward success. We conclude that the management of social networking sites should be treated as a process that is pragmatic and paradoxically, be stimulated.

  10. Networked identity: how immigrant youth employ online identity resources

    NARCIS (Netherlands)

    Prinsen, Fleur; de Haan, Mariette; Leander, Kevin

    2015-01-01

    In recent years, practices of online social networking and their implications for migrant youth identity development have been heavily debated. The nature of access to resources for identification is changing, and by using a social network perspective, this research conceptualizes identity as a netw

  11. Social networking sites as business tool: a study of user behavior

    NARCIS (Netherlands)

    Constantinides, Efthymios; Lorenzo-Romero, C.; Alarcon-del-Amo, M.d.C.; Glykas, M.

    2013-01-01

    Social Networking Sites (SNS) are second generation web applications allowing the creation of personal online networks; the social networking domain has become one of the fastest growing online environments connecting hundreds of millions of people worldwide. Businesses are increasingly interested

  12. Multilayer Social Networks

    DEFF Research Database (Denmark)

    Dickison, Mark; Magnani, Matteo; Rossi, Luca

    social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various......Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate...

  13. Online Social Behavior in Twitter : A Literature Review

    NARCIS (Netherlands)

    Aarts, O.A.J.; Maanen, P.P. van; Ouboter, T.; Schraagen, J.M.

    2012-01-01

    This literature review is aimed at examining state of the art research in the field of online social networks. The goal is to identify the current challenges within this area of research, given the questions raised in society. In this review we pay attention to three aspects of social networks: acto

  14. Violence in social networks: an exploration of the online expressions of teens from marginalized areas of Greater Buenos Aires

    Directory of Open Access Journals (Sweden)

    Joaquín Linne

    2016-06-01

    Full Text Available Este trabajo explora las expresiones online de violencia ejercida o padecida por las y los adolescentes de sectores populares marginalizados del Área Metropolitana de Buenos Aires. Desde una metodología cualitativa, se indagan cuatro fenómenos específicos: las amenazas, los “bondis”, el cyberbullying y los duelos, para lo cual se realizaron veinte entrevistas en profundidad y 3.000 observaciones virtuales de perfiles de la red social Facebook entre 2013 y 2014. Entre los principales resultados, se observa que la mayoría de las expresiones de violencia se enmarcan en una dinámica offline-online. Asimismo, se ofrece evidencia empírica a partir de la cual es posible afirmar que las expresiones de violencia de estos adolescentes se despliegan en torno a la cultura del “aguante”. El artículo se pregunta si en la plataforma icónica del “me gusta” estas expresiones resultan implícitamente funcionales a la red social o si, por el contrario, permiten desplazamientos y reapropiaciones significativas de los usuarios. En definitiva, se abren nuevos interrogantes acerca de la utilización de estas herramientas por parte de adolescentes de sectores populares marginalizados y se propone complejizar los enfoques en torno a estos fenómenos.

  15. Barter Online Network

    Directory of Open Access Journals (Sweden)

    Van Ngoc Tran

    2015-12-01

    Full Text Available Barter is the direct exchange of goods or services without using a medium of exchange, such as money. Barter faced a number of limitations, and according to Smith (1776, these limitations led to the emergence of money. However, trading with money also exposes traders to the problems of monetary economy such as inflation, deflation, currency de-valuation, and currency exchange fluctuation. According to Statista.com (2015, in 2016, global Business to Customer (B2C e-commerce sales will reach 1.92 trillion US dollars. On the other hand, online barter solutions are rare on the market. The only attempts to tackle online barter are mobile applications, carried out by small businesses. The market gap is caused by the unsolved inefficiencies of barter. The aim of this thesis is to identify the problems of barter, propose an IT solution for the problems of barter, and finally, produce an artefact, which is the realisation of the proposed IT solution by utilising computer systems and computer algorithms.

  16. What Online Networks Offer: Online Network Compositions and Online Learning Experiences of Three Ethnic Groups

    NARCIS (Netherlands)

    Lecluijze, Susanne Elisabeth; de Haan, M.J.; Ünlüsoy, A.

    2015-01-01

    This exploratory study examines ethno-cultural diversity in youth ́s narratives regarding their online learning experiences while also investigating how these narratives can be understood from the analysis of their online network structure and composition. Based on ego-network data of 79 respondents

  17. What Online Networks Offer: Online Network Compositions and Online Learning Experiences of Three Ethnic Groups

    NARCIS (Netherlands)

    Lecluijze, Susanne Elisabeth; de Haan, M.J.; Ünlüsoy, A.

    2015-01-01

    This exploratory study examines ethno-cultural diversity in youth ́s narratives regarding their online learning experiences while also investigating how these narratives can be understood from the analysis of their online network structure and composition. Based on ego-network data of 79 respondents

  18. The Deep Structure of Organizational Online Networking

    DEFF Research Database (Denmark)

    Trier, Matthias; Richter, Alexander

    2015-01-01

    and information retrievers as two mutually interdependent actor roles as an explanation for uneven levels of user contributions to the SNS. Based on our analysis, we elicit abstract order principles, such as topical discourses, and identify transactive memory theory as a potent explanation of the evolving...... of a corporate social network site (SNS) in a global organization. We reveal organizational online networking as a multi-dimensional phenomenon with multiplex relationships that are unbalanced, primarily consist of weak ties and are subject to temporal change. Further, we identify discourse drivers...

  19. Virtual communities, social networks and collaboration

    CERN Document Server

    Lazakidou, Athina A

    2012-01-01

    Social networks and virtual communities are often in the news, either being censored or facilitating academic cooperation. Here, leading researchers cover cutting-edge topics such as the requirements for effective collaboration in on-line communities.

  20. Improving Student Engagement Using Course-Based Social Networks

    Science.gov (United States)

    Imlawi, Jehad Mohammad

    2013-01-01

    This study proposes an engagement model that supports use of course-based online social networks for engaging student, and hence, improving their educational outcomes. This research demonstrates that instructors who create course-based online social networks to communicate with students can increase the student engagement in these online social…

  1. Improving Student Engagement Using Course-Based Social Networks

    Science.gov (United States)

    Imlawi, Jehad Mohammad

    2013-01-01

    This study proposes an engagement model that supports use of course-based online social networks for engaging student, and hence, improving their educational outcomes. This research demonstrates that instructors who create course-based online social networks to communicate with students can increase the student engagement in these online social…

  2. A Prediction Model of Information Diffusion in Online Social Networks%一种在线社会网络的信息扩散预测模型*

    Institute of Scientific and Technical Information of China (English)

    彭川; 李元香

    2014-01-01

    This paper proposes a diffusive model named Fick‐Logistic model to describe and predict information diffu‐sion in online social networks .Firstly ,paper gives out the definition of distance between a pair of users in network graph by using shortest path measured by friendship hops .Then paper considers the information diffusion in online social networks as two separated process ,social process and growth process .And it applies Fick diffusion theory and Logistic growth model in‐to information diffusion process in the context of online social network .Lastly ,the paper utilizes proposed model to predict diffusion process of the most representative news story in Digg dataset .The high prediction accuracies indicate that the model can precisely describe the process of diffusion in Digg and has good capability of prediction .%论文针对在线社会网络中的信息扩散问题,提出了一个信息扩散的预测模型。首先给出了以好友关系作为用户距离度量的方法;然后将信息扩散看作是“社会扩散”和“内部扩散”两种方式同时作用的结果,并分别将Fick扩散理论和Logistic增长模型用于描述这两个过程,设计了Fick‐Logistic扩散预测模型。最后,用该模型对Digg数据集中最具代表性的新闻实例进行预测。较高的预测准确率表明,论文提出的Fick‐Logistic扩散预测模型能较好描述Digg在线社会网络中的信息扩散过程,具有较好的预测性能。

  3. Social Networks: Gated Communities or Free Cantons?

    CERN Document Server

    CERN. Geneva

    2017-01-01

    Online social networks and other cloud-based services have concentrated the control of the web in the hands of a few corporations. Our personal data has been commodified, often without our knowledge or consent. Is there a way to retain all the benefits of social networking without giving up control of our data?

  4. Professional social networking.

    Science.gov (United States)

    Rowley, Robert D

    2014-12-01

    We review the current state of social communication between healthcare professionals, the role of consumer social networking, and some emerging technologies to address the gaps. In particular, the review covers (1) the current state of loose social networking for continuing medical education (CME) and other broadcast information dissemination; (2) social networking for business promotion; (3) social networking for peer collaboration, including simple communication as well as more robust data-centered collaboration around patient care; and (4) engaging patients on social platforms, including integrating consumer-originated data into the mix of healthcare data. We will see how, as the nature of healthcare delivery moves from the institution-centric way of tradition to a more social and networked ambulatory pattern that we see emerging today, the nature of health IT has also moved from enterprise-centric systems to more socially networked, cloud-based options.

  5. Evolving Social Networks via Friend Recommendations

    OpenAIRE

    Verma, Amit Kumar; Pal, Manjish

    2015-01-01

    A social network grows over a period of time with the formation of new connections and relations. In recent years we have witnessed a massive growth of online social networks like Facebook, Twitter etc. So it has become a problem of extreme importance to know the destiny of these networks. Thus predicting the evolution of a social network is a question of extreme importance. A good model for evolution of a social network can help in understanding the properties responsible for the changes occ...

  6. Exploring the Relationship Between Online Social Network Site Usage and the Impact on Quality of Life for Older and Younger Users: An Interaction Analysis.

    Science.gov (United States)

    Quinn, Darren; Chen, Liming; Mulvenna, Maurice D; Bond, Raymond

    2016-09-29

    Analyzing content generated by users of social network sites has been shown to be beneficial across a number of disciplines. Such analysis has revealed the precise behavior of users that details their distinct patterns of engagement. An issue is evident whereby without direct engagement with end users, the reasoning for anomalies can only be the subject of conjecture. Furthermore, the impact of engaging in social network sites on quality of life is an area which has received little attention. Of particular interest is the impact of online social networking on older users, which is a demographic that is specifically vulnerable to social isolation. A review of the literature reveals a lack of knowledge concerning the impact of these technologies on such users and even less is known regarding how this impact varies across different demographics. The objective of our study was to analyze user interactions and to survey the attitudes of social network users directly, capturing data in four key areas: (1) functional usage, (2) behavioral patterns, (3) technology, and (4) quality of life. An online survey was constructed, comprising 32 questions. Each question directly related to a research question. Respondents were recruited through a variety of methods including email campaigns, Facebook advertisements, and promotion from related organizations. In total, data was collected from 919 users containing 446 younger and 473 older users. In comparison to younger users, a greater proportion of older users (289/473, 61.1% older vs 218/446, 48.9% younger) (PFacebook had either a positive or huge impact on their quality of life. Furthermore, a greater percentage of older users strongly agreed that Facebook strengthened their relationship with other people (64/473, 13.5% older vs 40/446, 9.0%younger) (P=.02). In comparison to younger users, a greater proportion of older users had more positive emotions-classified as slightly better or very good-during their engagement with

  7. When first comes love (or lust): how romantic and sexual cues bias first impressions in online social networking.

    Science.gov (United States)

    Dillman Carpentier, Francesca R; Parrott, M Scott; Northup, C Temple

    2014-01-01

    Three experimental studies (N = 286) tested how priming the concepts of sex or romance influence the way people perceive other social media users. Participants first completed a word-search task containing sexual (intercourse, lust), romantic (love, heart), or control words. Participants then evaluated a target's sexual qualities and romantic qualities based on social media profiles, as well as rated their acceptance of the priming stimuli. Results suggested that sex primes led participants to judge targets as being more alluring, racy, and provocative, whereas romance primes led participants to judge targets as being more tender, sentimental, and kind. Both men and women found all primes to be equally acceptable content; women were not averse to these mainstream, non-explicit sexual stimuli. Findings are discussed in terms of viewing sex and romance as distinct, yet related networks of concepts and the need to disentangle sex, romance, and sexualized views of romance.

  8. Recommendation in evolving online networks

    Science.gov (United States)

    Hu, Xiao; Zeng, An; Shang, Ming-Sheng

    2016-02-01

    Recommender system is an effective tool to find the most relevant information for online users. By analyzing the historical selection records of users, recommender system predicts the most likely future links in the user-item network and accordingly constructs a personalized recommendation list for each user. So far, the recommendation process is mostly investigated in static user-item networks. In this paper, we propose a model which allows us to examine the performance of the state-of-the-art recommendation algorithms in evolving networks. We find that the recommendation accuracy in general decreases with time if the evolution of the online network fully depends on the recommendation. Interestingly, some randomness in users' choice can significantly improve the long-term accuracy of the recommendation algorithm. When a hybrid recommendation algorithm is applied, we find that the optimal parameter gradually shifts towards the diversity-favoring recommendation algorithm, indicating that recommendation diversity is essential to keep a high long-term recommendation accuracy. Finally, we confirm our conclusions by studying the recommendation on networks with the real evolution data.

  9. Mobile social networking an innovative approach

    CERN Document Server

    Zhang, Daqing

    2014-01-01

    The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be built to provide mobile social networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributions from the fields of sociology, computer science, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, as well as how users behave around them and how their behavior differs on mobile vs. traditional online social networks.

  10. Assessing Social Ability in Online Learning Environments

    Science.gov (United States)

    Laffey, James; Lin, Guan Yu; Lin, Yimei

    2006-01-01

    Education is a social practice and the ability to interact socially is important to social cognitive learning and social learning. Online education is frequently criticized because it lacks social interaction, a sense of social engagement, and the benefits of learning with others. Social ability with computer-mediated social mechanisms is key to…

  11. Social Network Sites, Individual Social Capital and Happiness

    NARCIS (Netherlands)

    E. Arampatzi (Efstratia); M.J. Burger (Martijn); N.A. Novik (Natallia)

    2016-01-01

    textabstractCan online social contacts replace the importance of real-life social connections in our pursuit of happiness? With the growing use of social network sites (SNSs), attention has been increasingly drawn to this topic. Our study empirically examines the effect of SNS use on happiness for d

  12. One Health in social networks and social media.

    Science.gov (United States)

    Mekaru, S R; Brownstein, J S

    2014-08-01

    In the rapidly evolving world of social media, social networks, mobile applications and citizen science, online communities can develop organically and separately from larger or more established organisations. The One Health online community is experiencing expansion from both the bottom up and the top down. In this paper, the authors review social media's strengths and weaknesses, earlier work examining Internet resources for One Health, the current state of One Health in social media (e.g. Facebook, Twitter, YouTube) and online social networking sites (e.g. LinkedIn and ResearchGate), as well as social media in One Health-related citizen science projects. While One Health has a fairly strong presence on websites, its social media presence is more limited and has an uneven geographic distribution. In work following the Stone Mountain Meeting,the One Health Global Network Task Force Report recommended the creation of an online community of practice. Professional social networks as well as the strategic use of social media should be employed in this effort. Finally, One Health-related research projects using volunteers (citizen science) often use social media to enhance their recruitment. Including these researchers in a community of practitioners would take full advantage of their existing social media presence. In conclusion, the interactive nature of social media, combined with increasing global Internet access, provides the One Health community with opportunities to meaningfully expand their community and promote their message.

  13. Analyzing negative ties in social networks

    Directory of Open Access Journals (Sweden)

    Mankirat Kaur

    2016-03-01

    Full Text Available Online social networks are a source of sharing information and maintaining personal contacts with other people through social interactions and thus forming virtual communities online. Social networks are crowded with positive and negative relations. Positive relations are formed by support, endorsement and friendship and thus, create a network of well-connected users whereas negative relations are a result of opposition, distrust and avoidance creating disconnected networks. Due to increase in illegal activities such as masquerading, conspiring and creating fake profiles on online social networks, exploring and analyzing these negative activities becomes the need of hour. Usually negative ties are treated in same way as positive ties in many theories such as balance theory and blockmodeling analysis. But the standard concepts of social network analysis do not yield same results in respect of each tie. This paper presents a survey on analyzing negative ties in social networks through various types of network analysis techniques that are used for examining ties such as status, centrality and power measures. Due to the difference in characteristics of flow in positive and negative tie networks some of these measures are not applicable on negative ties. This paper also discusses new methods that have been developed specifically for analyzing negative ties such as negative degree, and h∗ measure along with the measures based on mixture of positive and negative ties. The different types of social network analysis approaches have been reviewed and compared to determine the best approach that can appropriately identify the negative ties in online networks. It has been analyzed that only few measures such as Degree and PN centrality are applicable for identifying outsiders in network. For applicability in online networks, the performance of PN measure needs to be verified and further, new measures should be developed based upon negative clique concept.

  14. Existence of outsiders as a characteristic of online communication networks

    CERN Document Server

    Takaguchi, Taro; Toyoda, Masashi; Kawarabayashi, Ken-ichi

    2014-01-01

    Online social networking services (SNSs) involve communication activities between large number of individuals over the public Internet and their crawled records are often regarded as proxies of real (i.e., offline) interaction structure. However, structure observed in these records might differ from real counterparts because individuals may behave differently online and non-human accounts may even participate. To understand the difference between online and real social networks, we investigate an empirical communication network between users on Twitter, which is perhaps one of the largest SNSs. We define a network of user pairs that send reciprocal messages. Based on the mixing pattern observed in this network, we argue that this network differs from conventional understandings in the sense that there is a small number of distinctive users that we call outsiders. Outsiders do not belong to any user groups but they are connected with different groups, while not being well connected with each other. We identify...

  15. Profiles of social networking sites users in the Netherlands

    NARCIS (Netherlands)

    Constantinides, Efthymios; Alarcón del Amo, Maria del Carmen; Lorenzo Romero, Carlota

    2010-01-01

    Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities.

  16. Profiles of social networking sites users in the Netherlands

    NARCIS (Netherlands)

    Constantinides, Efthymios; Alarcón del Amo, Maria del Carmen; Lorenzo Romero, Carlota

    2010-01-01

    Online social networking has become a reality and integral part of the daily personal, social and business life. The extraordinary increase of the user numbers of Social Networking Sites (SNS) and the rampant creation of online communities presents businesses with many challenges and opportunities.

  17. 在线社交网络中谣言的传播与抑制%The propagation and inhibition of rumors in online social network

    Institute of Scientific and Technical Information of China (English)

    顾亦然; 夏玲玲

    2012-01-01

    In this paper, a new rumor spreading SEIR model is proposed with considering both the spreading characteristics of rumors in the real online social network and the epidemic dynamics models with latency. First, the dynamical evolution equations based on the SEIR model are established. Then an efficient immunization strategy--important acquaintance immunization strategy, is given for the inhibition of rumor spreading. Finally, based on the user datasets of Facebook, the SEIR model and its dynamical evolution equations with various immunization strategies including important acquaintance immunization strategy are utilized in the computer simulation for the evolution process of rumor spreading before and after immunization. Simulation results show that SEIR model conforms to propagation characteristics of the real online social network, and the important acquaintance immunization strategy is an optimal scheme to solve the inhibition of rumor spreading in the online social network.%根据真实在线社交网络中谣言的传播特点以及有疾病潜伏期的传染病模型,提出一个新的基于在线社交网络的谣言传播SEIR模型.首先建立基于SEIR模型的动力学演化方程组,然后给出一个高效的抑制谣言传播的免疫策略——重要熟人免疫策略.最后在真实在线社交网络Facebook的用户数据集上,结合SEIR模型与动力学演化方程组以及包含重要熟人免疫策略在内的多种免疫策略,对免疫前后谣言传播的演化过程进行计算机仿真.仿真结果表明SEIR模型符合真实在线社交网络的传播特性,且重要熟人免疫策略是解决在线社交网路中谣言抑制问题的最佳方案.

  18. Social cognitive radio networks

    CERN Document Server

    Chen, Xu

    2015-01-01

    This brief presents research results on social cognitive radio networks, a transformational and innovative networking paradigm that promotes the nexus between social interactions and cognitive radio networks. Along with a review of the research literature, the text examines the key motivation and challenges of social cognitive radio network design. Three socially inspired distributed spectrum sharing mechanisms are introduced: adaptive channel recommendation mechanism, imitation-based social spectrum sharing mechanism, and evolutionarily stable spectrum access mechanism. The brief concludes with a discussion of future research directions which ascertains that exploiting social interactions for distributed spectrum sharing will advance the state-of-the-art of cognitive radio network design, spur a new line of thinking for future wireless networks, and enable novel wireless service and applications.

  19. [The effects of narcissism and self-esteem on immersion in social network games and massively multiplayer online role-playing games].

    Science.gov (United States)

    Jin, Kato; Igarashi, Tasuku

    2016-04-01

    Recent research has shown growing interest in the process by which narcissism triggers immersion in social network games (SNG). Highly narcissistic individuals are motivated not only by the achievement of goals and monopoly of materials (i:e., self-enhancement), but also by comparison and competition with others (i.e., social comparison) We predicted that the common rules and environments of SNG and massively multiplayer online role-playing games (MMORPG), such as systems of exchanging items and ranking players, facilitate immersion of highly narcissistic individuals during the game. Structural equation modeling of data from 378 SNG players and 150 MMORPG players recruited online showed that self-esteem inhibited game immersion, whereas narcissism increased game immersion via motivation for goal attainment. SNG players were more likely to be immersed in the game via motivation for goal attainment than MMORPG players. These findings suggest that, compared with MMORPG, the environments of SNG provide strong incentives not for those high in self-esteem who seek acceptance of others, but for those high in narcissism who are motivated by self-enhancement via competition with others.

  20. Social multimedia signals a signal processing approach to social network phenomena

    CERN Document Server

    Roy, Suman Deb

    2014-01-01

    This book provides a comprehensive coverage of the state-of-the-art in understanding media popularity and trends in online social networks through social multimedia signals. With insights from the study of popularity and sharing patterns of online media, trend spread in social media, social network analysis for multimedia and visualizing diffusion of media in online social networks. In particular, the book will address the following important issues: Understanding social network phenomena from a signal processing point of view; The existence and popularity of multimedia as shared and social me

  1. Social network analysis

    OpenAIRE

    Mathias, Carlos Leonardo Kelmer

    2014-01-01

    In general, the paper develops a historiographical debate about the methodology of social network analysis. More than responding questions using such methodology, this article tries to introduce the historian to the founder bibliography of social network analysis. Since the publication of the famous article by John Barnes in 1954, sociologists linked to sociometric studies have usually employed the social network analysis in their studies. On the other hand, this methodology is not widespread...

  2. Marketing on social networks

    OpenAIRE

    Kadečková, Anna

    2016-01-01

    The bachelor´s thesis is focused on marketing communications on social networks in recruitment agency OPENN. The work is composed of three parts: literature review, own work and draft recommendations. The first part describes the basic concepts of marketing, marketing mix and communication mix, whose tools are used to successful marketing on social networks. Among other things, thesis informs on major social networks, including Facebook, Twitter, LinkedIn, Google+, YouTube and Instagram. It f...

  3. Hierarchical sequencing of online social graphs

    Science.gov (United States)

    Andjelković, Miroslav; Tadić, Bosiljka; Maletić, Slobodan; Rajković, Milan

    2015-10-01

    In online communications, patterns of conduct of individual actors and use of emotions in the process can lead to a complex social graph exhibiting multilayered structure and mesoscopic communities. Using simplicial complexes representation of graphs, we investigate in-depth topology of the online social network constructed from MySpace dialogs which exhibits original community structure. A simulation of emotion spreading in this network leads to the identification of two emotion-propagating layers. Three topological measures are introduced, referred to as the structure vectors, which quantify graph's architecture at different dimension levels. Notably, structures emerging through shared links, triangles and tetrahedral faces, frequently occur and range from tree-like to maximal 5-cliques and their respective complexes. On the other hand, the structures which spread only negative or only positive emotion messages appear to have much simpler topology consisting of links and triangles. The node's structure vector represents the number of simplices at each topology level in which the node resides and the total number of such simplices determines what we define as the node's topological dimension. The presented results suggest that the node's topological dimension provides a suitable measure of the social capital which measures the actor's ability to act as a broker in compact communities, the so called Simmelian brokerage. We also generalize the results to a wider class of computer-generated networks. Investigating components of the node's vector over network layers reveals that same nodes develop different socio-emotional relations and that the influential nodes build social capital by combining their connections in different layers.

  4. Data mining for social network data

    CERN Document Server

    Memon, Nasrullah; Hicks, David L; Chen, Hsinchun

    2010-01-01

    Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on ""Data Mining for Social Network Data"" will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, and activities in open fora, and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution

  5. Information and influence propagation in social networks

    CERN Document Server

    Chen, Wei; Lakshmanan, Laks V S

    2013-01-01

    Research on social networks has exploded over the last decade. To a large extent, this has been fueled by the spectacular growth of social media and online social networking sites, which continue growing at a very fast pace, as well as by the increasing availability of very large social network datasets for purposes of research. A rich body of this research has been devoted to the analysis of the propagation of information, influence, innovations, infections, practices and customs through networks. Can we build models to explain the way these propagations occur? How can we validate our models

  6. Information filtering on coupled social networks.

    Science.gov (United States)

    Nie, Da-Cheng; Zhang, Zi-Ke; Zhou, Jun-Lin; Fu, Yan; Zhang, Kui

    2014-01-01

    In this paper, based on the coupled social networks (CSN), we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks.

  7. Information filtering on coupled social networks.

    Directory of Open Access Journals (Sweden)

    Da-Cheng Nie

    Full Text Available In this paper, based on the coupled social networks (CSN, we propose a hybrid algorithm to nonlinearly integrate both social and behavior information of online users. Filtering algorithm, based on the coupled social networks, considers the effects of both social similarity and personalized preference. Experimental results based on two real datasets, Epinions and Friendfeed, show that the hybrid pattern can not only provide more accurate recommendations, but also enlarge the recommendation coverage while adopting global metric. Further empirical analyses demonstrate that the mutual reinforcement and rich-club phenomenon can also be found in coupled social networks where the identical individuals occupy the core position of the online system. This work may shed some light on the in-depth understanding of the structure and function of coupled social networks.

  8. REPRESENTATION OF ONLINE SOCIAL NETWORKS IN THE EDUCATIONAL PROCESS: POTENTIALY OF VIRTUAL GROUPS AS TOOLS FOR TEACHING- LEARNING IN HIGH SCHOOL

    Directory of Open Access Journals (Sweden)

    Allan Victor Ribeiro

    2013-07-01

    Full Text Available One tool that has been in evidence, especially among young people, is Facebook. It can be classified as a synchronous communication tool that allows communities of people with similar interests to discuss and exchange experiences in real time, promoting the sharing of information and the creation of collective knowledge, even if they being in different parts of the globe. In this paper we show that Facebook can be used as an educational tool to aid the work done in the classroom and the impact of creating closed groups in online social networking for educational purposes. The survey was conducted with a group of students at a private school in Bauru/SP. We investigated the interaction profile of students with a closed group created on Facebook and through a questionnaire analyzed whether students use virtual environments for personal or educational. The survey reveals students perceptions about relevant aspects and the potential use of this tool as teaching-learning strategy.

  9. Blending Formal and Informal Learning Networks for Online Learning

    Science.gov (United States)

    Czerkawski, Betül C.

    2016-01-01

    With the emergence of social software and the advance of web-based technologies, online learning networks provide invaluable opportunities for learning, whether formal or informal. Unlike top-down, instructor-centered, and carefully planned formal learning settings, informal learning networks offer more bottom-up, student-centered participatory…

  10. Leveraging social networks for toxicovigilance.

    Science.gov (United States)

    Chary, Michael; Genes, Nicholas; McKenzie, Andrew; Manini, Alex F

    2013-06-01

    The landscape of drug abuse is shifting. Traditional means of characterizing these changes, such as national surveys or voluntary reporting by frontline clinicians, can miss changes in usage the emergence of novel drugs. Delays in detecting novel drug usage patterns make it difficult to evaluate public policy aimed at altering drug abuse. Increasingly, newer methods to inform frontline providers to recognize symptoms associated with novel drugs or methods of administration are needed. The growth of social networks may address this need. The objective of this manuscript is to introduce tools for using data from social networks to characterize drug abuse. We outline a structured approach to analyze social media in order to capture emerging trends in drug abuse by applying powerful methods from artificial intelligence, computational linguistics, graph theory, and agent-based modeling. First, we describe how to obtain data from social networks such as Twitter using publicly available automated programmatic interfaces. Then, we discuss how to use artificial intelligence techniques to extract content useful for purposes of toxicovigilance. This filtered content can be employed to generate real-time maps of drug usage across geographical regions. Beyond describing the real-time epidemiology of drug abuse, techniques from computational linguistics can uncover ways that drug discussions differ from other online conversations. Next, graph theory can elucidate the structure of networks discussing drug abuse, helping us learn what online interactions promote drug abuse and whether these interactions differ among drugs. Finally, agent-based modeling relates online interactions to psychological archetypes, providing a link between epidemiology and behavior. An analysis of social media discussions about drug abuse patterns with computational linguistics, graph theory, and agent-based modeling permits the real-time monitoring and characterization of trends of drugs of abuse. These

  11. Properties of on-line social systems

    Science.gov (United States)

    Grabowski, A.; Kruszewska, N.; Kosiński, R. A.

    2008-11-01

    We study properties of five different social systems: (i) internet society of friends consisting of over 106 people, (ii) social network consisting of 3 × 104 individuals, who interact in a large virtual world of Massive Multiplayer Online Role Playing Games (MMORPGs), (iii) over 106 users of music community website, (iv) over 5 × 106 users of gamers community server and (v) over 0.25 × 106 users of books admirer website. Individuals included in large social network form an Internet community and organize themselves in groups of different sizes. The destiny of those systems, as well as the method of creating of new connections, are different, however we found that the properties of these networks are very similar. We have found that the network components size distribution follow the power-law scaling form. In all five systems we have found interesting scaling laws concerning human dynamics. Our research has shown how long people are interested in a single task, how much time they devote to it and how fast they are making friends. It is surprising that the time evolution of an individual connectivity is very similar in each system.

  12. Does Facebook promote self-interest? Enactment of indiscriminate one-to-many communication on online social networking sites decreases prosocial behavior.

    Science.gov (United States)

    Chiou, Wen-Bin; Chen, Szu-Wei; Liao, Da-Chi

    2014-02-01

    Abstract Communication tools on social networking sites (SNSs) provide users with an efficient way to distribute information to the public and/or their friends simultaneously. In this article, we show that this kind of indiscriminate one-to-many (i.e., monologue) communication, in which the diverse interests of recipients are not considered, may induce a tendency toward egocentrism that interferes with other-oriented concerns, resulting in a reduced inclination to display prosocial behavior. In Experiment 1, participants induced to post a public communication subsequently allocated less money to anonymous strangers in the dictator game than did control participants. In Experiment 2, participants directing a post about participation in an experiment to their Facebook friends volunteered to help code fewer data sheets than did controls. Moreover, an egocentric state was shown to mediate the relationship between indiscriminate one-to-many communication and helping behavior. We provide the first demonstration that indiscriminate one-to-many communication on online social networks may be associated with a tendency toward self-interest. Our results suggest that the prevalence of monologue communication on SNSs may induce an egocentric tendency that undermines the likelihood of prosocial behavior.

  13. Social networks and bronchial asthma.

    Science.gov (United States)

    D'Amato, Gennaro; Cecchi, Lorenzo; Liccardi, Gennaro; D'Amato, Maria; Stanghellini, Giovanni

    2013-02-01

    To focus on both positive and negative aspects of the interaction between asthmatic patients and the social networks, and to highlight the need of a psychological approach in some individuals to integrate pharmacological treatment is the purpose of review. There is evidence that in some asthmatic patients, the excessive use of social networks can induce depression and stress triggering bronchial obstruction, whereas in others their rational use can induce beneficial effects in terms of asthma management. The increasing asthma prevalence in developed countries seen at the end of last century has raised concern for the considerable burden of this disease on society as well as individuals. Bronchial asthma is a disease in which psychological implications play a role in increasing or in reducing the severity of bronchial obstruction. Internet and, in particular, social media are increasingly a part of daily life of both young and adult people, thus allowing virtual relationships with peers sharing similar interests and goals. Although social network users often disclose more about themselves online than they do in person, there might be a risk for adolescents and for sensitive individuals, who can be negatively influenced by an incorrect use. However, although some studies show an increased risk of depression, other observations suggest beneficial effects of social networks by enhancing communication, social connection and self-esteem.

  14. An Introduction to Social Network Data Analytics

    Science.gov (United States)

    Aggarwal, Charu C.

    The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The richness of this network provides unprecedented opportunities for data analytics in the context of social networks. This book provides a data-centric view of online social networks; a topic which has been missing from much of the literature. This chapter provides an overview of the key topics in this field, and their coverage in this book.

  15. Correlates of requesting home HIV self-testing kits on online social networks among African-American and Latino men who have sex with men.

    Science.gov (United States)

    Chiu, ChingChe J; Young, Sean D

    2016-01-01

    High levels of HIV stigma are one of the main difficulties in engaging African-American and Latino men who have sex with men (MSM) in HIV testing. The availability of home HIV test and the possibility of self-testing in private may improve uptake and counteract stigma. This paper sought to determine the correlates of requesting home HIV test kits among a sample of MSM social media users. The odds of participants requesting a test kit were significantly associated with using social networks to seek sexual partners (aOR: 2.47, 95% CI: 1.07-6.06) and thinking it is easier to use social networks for seeking sexual partners (1.87, 1.2-3.12), uncertain HIV status (4.29, 1.37-14.4), and having sex under the influence of alcohol (2.46, 1.06-5.77). Participants who had not been tested for more than 6 months were more likely to request a test kit than those who were tested in the past 6 months (2.53, 1.02-6.37). Participants who frequently talked to others about having sex with men online were less likely to request a test kit (0.73, 0.56-0.92). By reaching people over social media and offering them access to test kits, we were able to reach at-risk individuals who were uncertain about their HIV status and had not been regularly tested. The findings of the study will help to inform future HIV testing interventions.

  16. Discovery of Information Diffusion Process in Social Networks

    Science.gov (United States)

    Kim, Kwanho; Jung, Jae-Yoon; Park, Jonghun

    Information diffusion analysis in social networks is of significance since it enables us to deeply understand dynamic social interactions among users. In this paper, we introduce approaches to discovering information diffusion process in social networks based on process mining. Process mining techniques are applied from three perspectives: social network analysis, process discovery and community recognition. We then present experimental results by using a real-life social network data. The proposed techniques are expected to employ as new analytical tools in online social networks such as blog and wikis for company marketers, politicians, news reporters and online writers.

  17. Social Networks and Health.

    Science.gov (United States)

    Perdiaris, Christos; Chardalias, Konstantinos; Magita, Andrianna; Mechili, Aggelos E; Diomidous, Marianna

    2015-01-01

    Nowadays the social networks have been developed into an advanced communications tool, which is important for all people to contact each other. These specific networks do offer lots of options as well as plenty of advantages and disadvantages. The social websites are many in number and titles, such as the facebook, the twitter, the bandoo etc. One of the most important function-mechanisms for the social network websites, are the marketing tools. The future goal is suggested to be the evolution of these programs. The development of these applications, which is going to lead into a new era for the social digital communication between the internet users, all around the globe.

  18. Evolution of Social networks

    OpenAIRE

    Hellmann, Tim; Staudigl, Mathias

    2012-01-01

    Modeling the evolution of networks is central to our understanding of modern large communication systems, such as theWorld-Wide-Web, as well as economic and social networks. The research on social and economic networks is truly interdisciplinary and the number of modeling strategies and concepts is enormous. In this survey we present some modeling approaches, covering classical random graph models and game-theoretic models, which may be used to provide a unified framework to model and analyze...

  19. Harnessing the Social Network : The use of Facebook in marketing

    OpenAIRE

    Pudzemyte, Urte; Zaunders, Viktor; Kralev, Trajche

    2010-01-01

    ii Bachelor Thesis in Business Administration / Informatics Title: Harnessing the Social Network Authors: Utre Pudzemyte, Trajche Kralev, Viktor Zaunders Tutor: Börje Boers Date: 2010-12-08 Subject terms: Social Media, Social Networks, Online Marketing, Relationship Marketing, Online Retailers, Facebook, Swedish Retail Abstract In this study we investigate how online retailers can use Facebook in marketing to increase their sales. We look specifically at how corporate Facebook pages can be us...

  20. Integrating Authentic Earth Science Data in Online Visualization Tools and Social Media Networking to Promote Earth Science Education

    Science.gov (United States)

    Carter, B. L.; Campbell, B.; Chambers, L.; Davis, A.; Riebeek, H.; Ward, K.

    2008-12-01

    The Goddard Space Flight Center (GSFC) is one of the largest Earth Science research-based institutions in the nation. Along with the research comes a dedicated group of people who are tasked with developing Earth science research-based education and public outreach materials to reach the broadest possible range of audiences. The GSFC Earth science education community makes use of a wide variety of platforms in order to reach their goals of communicating science. These platforms include using social media networking such as Twitter and Facebook, as well as geo-spatial tools such as MY NASA DATA, NASA World Wind, NEO, and Google Earth. Using a wide variety of platforms serves the dual purposes of promoting NASA Earth Science research and making authentic data available to educational communities that otherwise might not otherwise be granted access. Making data available to education communities promotes scientific literacy through the investigation of scientific phenomena using the same data that is used by the scientific community. Data from several NASA missions will be used to demonstrate the ways in which Earth science data are made available for the education community.

  1. Segmentation of users of social networking websites

    NARCIS (Netherlands)

    Lorenzo-Romero, C.; Alarcon-del-Amo, M.d.C.; Constantinides, Efthymios

    2012-01-01

    The typology of networked consumers in The Netherlands presented in this study, was based on an online survey and obtained using latent segmentation analysis. This approach is based on the frequency with which users perform different activities, their sociodemographic variables, social networking ex

  2. Segmentation of users of social networking websites

    NARCIS (Netherlands)

    Lorenzo-Romero, C.; Alarcon-del-Amo, M.d.C.; Constantinides, E.

    2012-01-01

    The typology of networked consumers in The Netherlands presented in this study, was based on an online survey and obtained using latent segmentation analysis. This approach is based on the frequency with which users perform different activities, their sociodemographic variables, social networking ex

  3. Computational Social Network Analysis

    CERN Document Server

    Hassanien, Aboul-Ella

    2010-01-01

    Presents insight into the social behaviour of animals (including the study of animal tracks and learning by members of the same species). This book provides web-based evidence of social interaction, perceptual learning, information granulation and the behaviour of humans and affinities between web-based social networks

  4. Civility vs. Incivility in Online Social Interactions: An Evolutionary Approach.

    Science.gov (United States)

    Antoci, Angelo; Delfino, Alexia; Paglieri, Fabio; Panebianco, Fabrizio; Sabatini, Fabio

    2016-01-01

    Evidence is growing that forms of incivility-e.g. aggressive and disrespectful behaviors, harassment, hate speech and outrageous claims-are spreading in the population of social networking sites' (SNS) users. Online social networks such as Facebook allow users to regularly interact with known and unknown others, who can behave either politely or rudely. This leads individuals not only to learn and adopt successful strategies for using the site, but also to condition their own behavior on that of others. Using a mean field approach, we define anevolutionary game framework to analyse the dynamics of civil and uncivil ways of interaction in online social networks and their consequences for collective welfare. Agents can choose to interact with others-politely or rudely-in SNS, or to opt out from online social networks to protect themselves from incivility. We find that, when the initial share of the population of polite users reaches a critical level, civility becomes generalized if its payoff increases more than that of incivility with the spreading of politeness in online interactions. Otherwise, the spreading of self-protective behaviors to cope with online incivility can lead the economyto non-socially optimal stationary states. JEL Codes: C61, C73, D85, O33, Z13. PsycINFO Codes: 2240, 2750.

  5. Social network sampling using spanning trees

    Science.gov (United States)

    Jalali, Zeinab S.; Rezvanian, Alireza; Meybodi, Mohammad Reza

    2016-12-01

    Due to the large scales and limitations in accessing most online social networks, it is hard or infeasible to directly access them in a reasonable amount of time for studying and analysis. Hence, network sampling has emerged as a suitable technique to study and analyze real networks. The main goal of sampling online social networks is constructing a small scale sampled network which preserves the most important properties of the original network. In this paper, we propose two sampling algorithms for sampling online social networks using spanning trees. The first proposed sampling algorithm finds several spanning trees from randomly chosen starting nodes; then the edges in these spanning trees are ranked according to the number of times that each edge has appeared in the set of found spanning trees in the given network. The sampled network is then constructed as a sub-graph of the original network which contains a fraction of nodes that are incident on highly ranked edges. In order to avoid traversing the entire network, the second sampling algorithm is proposed using partial spanning trees. The second sampling algorithm is similar to the first algorithm except that it uses partial spanning trees. Several experiments are conducted to examine the performance of the proposed sampling algorithms on well-known real networks. The obtained results in comparison with other popular sampling methods demonstrate the efficiency of the proposed sampling algorithms in terms of Kolmogorov-Smirnov distance (KSD), skew divergence distance (SDD) and normalized distance (ND).

  6. Pairwise Influence Quantification Bayes Model for Online Social Network%在线社交网络用户间影响量化的贝叶斯模型

    Institute of Scientific and Technical Information of China (English)

    戴云晶; 邓倩妮

    2013-01-01

    Traditional researches of pairwise influence quantification are focus on social network such as coauthor network. So they don' t fully apply to current online social network. Furthermore, existing model which are proposed for online social network are simple, one—sided and lack of accuracy. So we propose a Bayes model which integrated all useful information online social network provides to quantify the pairwise influence between two users. Through analyzing and comparing the influential found by these models, we find that our model is more accurate and comprehensive than existing models.%传统的模型专注于合作网络等社交网络,并不完全适用于在线社交网络.而现有的针对在线社交网络的模型简单,片面,缺乏准确性.因此我们提出了基于贝叶斯观点的模型,通过集成在线社交网络提供的有用信息来量化用户间的影响.通过分析对比贝叶斯模型与现有模型找到的影响者,我们发现贝叶斯模型比现有的模型更准确和全面.

  7. Civility vs. incivility in online social interactions: an evolutionary approach

    OpenAIRE

    Antoci, Angelo; Delfino, Alexia; Paglieri, Fabio; Panebianco, Fabrizio; Sabatini, Fabio

    2016-01-01

    Evidence is growing that forms of incivility–e.g. aggressive and disrespectful behaviors, harassment, hate speech and outrageous claims–are spreading in the population of social networking sites’ (SNS) users. Online social networks such as Facebook allow users to regularly interact with known and unknown others, who can behave either politely or rudely. This leads individuals not only to learn and adopt successful strategies for using the site, but also to condition their own behavior on that...

  8. Civility vs. Incivility in Online Social Interactions: An Evolutionary Approach

    OpenAIRE

    Antoci, Angelo; Delfino, Alexia; Paglieri, Fabio; Panebianco, Fabrizio; Sabatini, Fabio

    2016-01-01

    Evidence is growing that forms of incivility–e.g. aggressive and disrespectful behaviors, harassment, hate speech and outrageous claims–are spreading in the population of social networking sites’ (SNS) users. Online social networks such as Facebook allow users to regularly interact with known and unknown others, who can behave either politely or rudely. This leads individuals not only to learn and adopt successful strategies for using the site, but also to condition their own behavior on that...

  9. Anti-Social Networking

    Directory of Open Access Journals (Sweden)

    Chris Allen

    2014-01-01

    Full Text Available With research highlighting the growing incidence of public opposition to the building of mosques and the innovative use of social networking, especially Facebook, to disseminate and garner support for such opposition, a pilot study sought to investigate this in relation to the proposed Dudley “super mosque.” Focusing on the Facebook group Stop Dudley Super Mosque and Islamic Village, members were engaged online to explore why they opposed the mosque. Some of the emergent themes included planning and location, inclusion and public investment as well as those relating to notions of identity, heritage, otherness, and Islamification. Overt racist and Islamophobic reasons were also identified. The sense of political disconnect of members is also considered. Concluding with a contextualization of the findings within the existing body of scholarly output, in particular the building of mosques and Islamophobia, having recognized how spaces such as Facebook have potential to function as sites for research and method also, an extended methodological consideration is also included.

  10. Social network in patient safety: Social media visibility

    Directory of Open Access Journals (Sweden)

    Azucena Santillán García

    2011-11-01

    Full Text Available Internet social network (social media is a powerful communication tool, and its use is expanding significantly. This paper seeks to know the current state of visibility in online social networks of active citizen talking about patient safety. This is an observational cross-sectional study whose target population is the websites Facebook, Twitter and Tuenti in Spain. By three consecutive cuts social profiles were found using the searching terms “seguridad+paciente” and “safety+patient”. There were found 5 profiles on Facebook that met the search criteria, 6 on Twitter and none were found on Tuenti. It is concluded that although there is evidence of the rise of social networking, citizen network involved in patient safety appears not to be significantly represented within the social networks examined.

  11. Fra onlinefællesskaber til onlinenetværk: Facebook som augmentering af den sociale virkelighed [From online communities to online networks: Facebook as an augmentation of social reality] Fra onlinefællesskaber til onlinenetværk: Facebook som augmentering af den sociale virkelighed

    Directory of Open Access Journals (Sweden)

    Jakob Linaa Jensen

    2009-06-01

    Full Text Available Denne artikel diskuterer Facebook-fænomenet som et symptom på, at sociale anvendelser af nettet bevæger sig fællesskabsorienterede til netværksorienterede. Hvor man i nettets tidlige år ofte brugte nettet til at møde nye mennesker med samme interesser eller holdninger som én selv, er det i dag mere udbredt at skabe og vedligeholde forbindelser med ens eksisterende sociale netværk. Det vises også i artiklen, hvordan Facebooks succes blandt andet kan tilskrives, at det for brugerne opfylder fem funktioner, som man tidligere skulle benytte sig af en række forskellige tjenester for at varetage: selvfremstilling, venskab, objektdeling, publicering og det, jeg vil kalde ”sjette sans”. Herigennem bidrager Facebook til at forstærke eksisterende sociale relationer, det jeg kalder en augmentering af den sociale virkelighed.This article discusses the Facebook phenomenon, using it as an example of how the most dominant social use of the Internet today is network-based rather than community-based. In the early years of the Internet, online communities were popular fora for meeting new people with related interests or opinions. Today, the dominant social use is to create and maintain relationships with your existing social network. It is also demonstrated that the success of Facebook, is dependent, among other factors, upon the fulfilment of five social functions for the users: self-presentation, friendship, object sharing, publication, and having a “sixth sense”. Thus, Facebook contributes to an enhancement of existing social relationships offline, what I call an augmentation of social reality.

  12. Understanding Online Malicious Behavior: Social Malware and Email Spam

    OpenAIRE

    2013-01-01

    Online social networks (OSNs) have become a popular new vector for distribution of malware and spam, which we refer to as socware . Unlike email spam - which is mostly sent by spammers directly to intended victims - socware leverages in great part on the "word-of- mouth" propagation of online social networks. In the dissertation, we study socware through analysis of 173 billions posts collected from 16K users of MyPageKeeper, a Facebook application created by ourselves, for ten months. We unc...

  13. Purity homophily in social networks.

    Science.gov (United States)

    Dehghani, Morteza; Johnson, Kate; Hoover, Joe; Sagi, Eyal; Garten, Justin; Parmar, Niki Jitendra; Vaisey, Stephen; Iliev, Rumen; Graham, Jesse

    2016-03-01

    Does sharing moral values encourage people to connect and form communities? The importance of moral homophily (love of same) has been recognized by social scientists, but the types of moral similarities that drive this phenomenon are still unknown. Using both large-scale, observational social-media analyses and behavioral lab experiments, the authors investigated which types of moral similarities influence tie formations. Analysis of a corpus of over 700,000 tweets revealed that the distance between 2 people in a social-network can be predicted based on differences in the moral purity content-but not other moral content-of their messages. The authors replicated this finding by experimentally manipulating perceived moral difference (Study 2) and similarity (Study 3) in the lab and demonstrating that purity differences play a significant role in social distancing. These results indicate that social network processes reflect moral selection, and both online and offline differences in moral purity concerns are particularly predictive of social distance. This research is an attempt to study morality indirectly using an observational big-data study complemented with 2 confirmatory behavioral experiments carried out using traditional social-psychology methodology.

  14. PERSON IN SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Андрей Борисович Шалимов

    2013-11-01

    Full Text Available Purpose: Our scientific purpose is creation of practical model of person’s representation in social networks (Facebook, Twitter, Classmates. As user of social networks, person is made conditional not only upon its own identity, but also upon the information about himself, which he is ready to share with his friends in contact list. Goal-setting and practical activities for their achievement mean that you should apply force, it can completely eliminates systemic factors, the system of power relations, which overwhelms human being in social networks.Methodology: The reconstruction of the model of human in the popularity of social networksResults: There is descripton of practical model of person's representation in social networks, it includes the management of own identity and the audience (the list of contacts. When person manages own identity, he answers the question, «Whom I can dare to be?». Person perceives himself in social networks' being, he understands himself and his place in the world, he identifies.Managing the way in social media means that you answer the question «What I want to tell?». Person in social media looks at events in the field of culture, economy, politics, social relations through the prism of his own attitudes, he forms and formulates his own agenda and he is going to tell about himself through them.Practical implications: Everyday people’s life, practical activities, including marketing in social networks.DOI: http://dx.doi.org/10.12731/2218-7405-2013-9-51

  15. Digital Social Norm Enforcement: Online Firestorms in Social Media.

    Science.gov (United States)

    Rost, Katja; Stahel, Lea; Frey, Bruno S

    2016-01-01

    Actors of public interest today have to fear the adverse impact that stems from social media platforms. Any controversial behavior may promptly trigger temporal, but potentially devastating storms of emotional and aggressive outrage, so called online firestorms. Popular targets of online firestorms are companies, politicians, celebrities, media, academics and many more. This article introduces social norm theory to understand online aggression in a social-political online setting, challenging the popular assumption that online anonymity is one of the principle factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions. Results show that in the context of online firestorms, non-anonymous individuals are more aggressive compared to anonymous individuals. This effect is reinforced if selective incentives are present and if aggressors are intrinsically motivated.

  16. Navigating Social Networks

    Science.gov (United States)

    Hamblin, DeAnna; Bartlett, Marilyn J.

    2013-01-01

    The authors note that when it comes to balancing free speech and schools' responsibilities, the online world is largely uncharted waters. Questions remain about the rights of both students and teachers in the world of social media. Although the lower courts have ruled that students' freedom of speech rights offer them some protection for…

  17. Navigating Social Networks

    Science.gov (United States)

    Hamblin, DeAnna; Bartlett, Marilyn J.

    2013-01-01

    The authors note that when it comes to balancing free speech and schools' responsibilities, the online world is largely uncharted waters. Questions remain about the rights of both students and teachers in the world of social media. Although the lower courts have ruled that students' freedom of speech rights offer them some protection for…

  18. Investigating Value Creation in a Community of Practice with Social Network Analysis in a Hybrid Online Graduate Education Program

    Science.gov (United States)

    Cowan, John E.; Menchaca, Michael P.

    2014-01-01

    This study reports an analysis of 10?years in the life of the Internet-based Master in Educational Technology program (iMET) at Sacramento State University. iMET is a hybrid educational technology master's program delivered 20% face to face and 80% online. The program has achieved a high degree of success, with a course completion rate of 93% and…

  19. The Aftermath of a Suicide Cluster in the Age of Online Social Networking: A Qualitative Analysis of Adolescent Grief Reactions

    Science.gov (United States)

    Heffel, Carly J.; Riggs, Shelley A.; Ruiz, John M.; Ruggles, Mark

    2015-01-01

    Although suicide clusters have been identified in many populations, research exploring the role of online communication in the aftermath of a suicide cluster is extremely limited. This study used the Consensual Qualitative Research method to analyze interviews with ten high school students 1 year after a suicide cluster in a small suburban school…

  20. The Aftermath of a Suicide Cluster in the Age of Online Social Networking: A Qualitative Analysis of Adolescent Grief Reactions

    Science.gov (United States)

    Heffel, Carly J.; Riggs, Shelley A.; Ruiz, John M.; Ruggles, Mark

    2015-01-01

    Although suicide clusters have been identified in many populations, research exploring the role of online communication in the aftermath of a suicide cluster is extremely limited. This study used the Consensual Qualitative Research method to analyze interviews with ten high school students 1 year after a suicide cluster in a small suburban school…

  1. The nested assembly of collective attention in online social systems

    CERN Document Server

    Borge-Holthoefer, Javier; Gracia-Lázaro, Carlos; Moreno, Yamir

    2015-01-01

    Online social networks have changed the way in which we communicate. These networks are characterized by a competitive information flow and a dynamic topology, where the success of a given topic or meme depends on many factors, most of which are unknown. Likely, given the many sources of information to which a typical individual is exposed, the economy of attention rules the system dynamics. Here we show, using microblogging data, that competition is minimized through consensus and that collective attention and successful topical assembly are characterized by a nested structure of the bipartite network made up by users and memes. Our results indicate that social phenomena could emerge as a result of a topological transition that minimizes modularity while maximizing the nestedness of the system, and that online social networks are comparable to an ecosystem, where generalists and specialists share resources.

  2. Privacy policies for health social networking sites

    OpenAIRE

    2013-01-01

    Health social networking sites (HSNS), virtual communities where users connect with each other around common problems and share relevant health data, have been increasingly adopted by medical professionals and patients. The growing use of HSNS like Sermo and PatientsLikeMe has prompted public concerns about the risks that such online data-sharing platforms pose to the privacy and security of personal health data. This paper articulates a set of privacy risks introduced by social networking in...

  3. Social network sites: Indispensable or optional social tools?

    DEFF Research Database (Denmark)

    Shklovski, Irina

    2012-01-01

    Much research has enumerated potential benefits of online social network sites. Given the pervasiveness of these sites and the numbers of people that use them daily, both re-search and media tend to make the assumption that social network sites have become indispensible to their users. Based...... on the analysis of qualitative data from users of social network sites in Russia and Kazakhstan, this paper consid-ers under what conditions social network sites can become indispensable to their users and when these technologies remain on the periphery of life despite fulfilling useful func-tions. For some...... respondents, these sites had become indis-pensable tools as they were integrated into everyday rou-tines of communicating with emotionally important and proximal contacts and were often used for coordination of offline activities. For others social network sites remained spaces where they occasionally visited...

  4. Affinity driven social networks

    Science.gov (United States)

    Ruyú, B.; Kuperman, M. N.

    2007-04-01

    In this work we present a model for evolving networks, where the driven force is related to the social affinity between individuals of a population. In the model, a set of individuals initially arranged on a regular ordered network and thus linked with their closest neighbors are allowed to rearrange their connections according to a dynamics closely related to that of the stable marriage problem. We show that the behavior of some topological properties of the resulting networks follows a non trivial pattern.

  5. Social network analysis

    NARCIS (Netherlands)

    W. de Nooy

    2009-01-01

    Social network analysis (SNA) focuses on the structure of ties within a set of social actors, e.g., persons, groups, organizations, and nations, or the products of human activity or cognition such as web sites, semantic concepts, and so on. It is linked to structuralism in sociology stressing the si

  6. The Spontaneous Emergence of Social Influence in Online Systems

    CERN Document Server

    Onnela, J -P

    2009-01-01

    Social influence drives both offline and online human behaviour. It pervades cultural markets, and manifests itself in the adoption of scientific and technical innovations as well as the spread of social practices. Prior empirical work on the diffusion of innovations in spatial regions or social networks has largely focused on the spread of one particular technology among a subset of all potential adopters. It has also been difficult to determine whether the observed collective behaviour is driven by natural influence processes, or whether it follows external signals such as media or marketing campaigns. Here, we choose an online context that allows us to study social influence processes by tracking the popularity of a complete set of applications installed by the user population of a social networking site, thus capturing the behaviour of all individuals who can influence each other in this context. By extending standard fluctuation scaling methods, we analyse the collective behaviour induced by 100 million ...

  7. Online social networks—Paradise of computer viruses

    Science.gov (United States)

    Fan, W.; Yeung, K. H.

    2011-01-01

    Online social network services have attracted more and more users in recent years. So the security of social networks becomes a critical problem. In this paper, we propose a virus propagation model based on the application network of Facebook, which is the most popular among these social network service providers. We also study the virus propagation with an email virus model and compare the behaviors of a virus spreading on Facebook with the original email network. It is found that Facebook provides the same chance for a virus spreading while it gives a platform for application developers. And a virus will spread faster in the Facebook network if users of Facebook spend more time on it.

  8. Do weight management interventions delivered by online social networks effectively improve body weight, body composition, and chronic disease risk factors? A systematic review.

    Science.gov (United States)

    Willis, Erik A; Szabo-Reed, Amanda N; Ptomey, Lauren T; Steger, Felicia L; Honas, Jeffery J; Washburn, Richard A; Donnelly, Joseph E

    2017-02-01

    Introduction Currently, no systematic review/meta-analysis has examined studies that used online social networks (OSN) as a primary intervention platform. Therefore, the purpose of this review was to evaluate the effectiveness of weight management interventions delivered through OSN. Methods PubMed, EMBASE, PsycINFO, Web of Science, and Scopus were searched (January 1990-November 2015) for studies with data on the effect of OSNs on weight loss. Only primary source articles that utilized OSN as the main platform for delivery of weight management/healthy lifestyle interventions, were published in English language peer-reviewed journals, and reported outcome data on weight were eligible for inclusion in this systematic review. Five articles were included in this review. Results One-hundred percent of the studies ( n = 5) reported a reduction in baseline weight. Three of the five studies (60%) reported significant decreases in body weight when OSN was paired with health educator support. Only one study reported a clinical significant weight loss of ≥5%. Conclusion Using OSN for weight management is in its early stages of development and, while these few studies show promise, more research is needed to acquire information about optimizing these interventions to increase their efficacy.

  9. Networked Participatory Scholarship: Emergent Techno-Cultural Pressures toward Open and Digital Scholarship in Online Networks

    Science.gov (United States)

    Veletsianos, George; Kimmons, Royce

    2012-01-01

    We examine the relationship between scholarly practice and participatory technologies and explore how such technologies invite and reflect the emergence of a new form of scholarship that we call "Networked Participatory Scholarship": scholars' participation in online social networks to share, reflect upon, critique, improve, validate, and…

  10. Help from My "Friends": Social Capital in the Social Network Sites of Low-Income Students

    Science.gov (United States)

    Greenhow, Christine; Burton, Lisa

    2011-01-01

    The development of social capital in young people is positively associated with educational attainment, achievement, and psychosocial factors. Prior research has explored factors that contribute to social capital, such as offline social networks. To a lesser extent, studies have analyzed the relationship between online social networks and…

  11. Online Privacy as a Corporate Social Responsibility

    DEFF Research Database (Denmark)

    Pollach, Irene

    2011-01-01

    Information technology and the Internet have added a new stakeholder concern to the corporate social responsibility agenda: online privacy. While theory suggests that online privacy is a corporate social responsibility, only very few studies in the business ethics literature have connected...... these two. Based on a study of corporate social responsibility disclosures, this article contributes to the existing literature by exploring whether and how the largest IT companies embrace online privacy as a corporate social responsibility. The findings indicate that only a small proportion...... of approaches to addressing privacy was found, which suggests that no institutionalization of privacy practices has taken place yet. The study therefore indicates that online privacy is rather new on the corporate social responsibility agenda, currently playing only a minor role....

  12. Risk factors associated with impact severity of cyberbullying victimization: a qualitative study of adolescent online social networking.

    Science.gov (United States)

    Dredge, Rebecca; Gleeson, John F M; de la Piedad Garcia, Xochitl

    2014-05-01

    Cyberbullying victimization is associated with a range of emotional and behavioral outcomes for adolescents. However, previous research has shown that this type of victimization does not affect all individuals negatively. The factors that account for individual differences in reactions to the same online experiences are not well understood. Using a qualitative inductive approach, a set of strong themes relating to factors that either increased the severity of impact of cyberbullying victimization or buffered victims against the impact emerged from interviews with 25 adolescents aged 15-24 years. Themes related to publicity, anonymity of perpetrators, features of the medium, presence of bystanders, and individual level factors were identified as potential influences upon impact severity. The implications of these results for further research and for school/university cyberbullying prevention programs for victims, perpetrators, and bystanders are discussed.

  13. Influence Activation Model: A New Perspective in Social Influence Analysis and Social Network Evolution

    CERN Document Server

    Yang, Yang; Lichtenwalter, Ryan N; Dong, Yuxiao

    2016-01-01

    What drives the propensity for the social network dynamics? Social influence is believed to drive both off-line and on-line human behavior, however it has not been considered as a driver of social network evolution. Our analysis suggest that, while the network structure affects the spread of influence in social networks, the network is in turn shaped by social influence activity (i.e., the process of social influence wherein one person's attitudes and behaviors affect another's). To that end, we develop a novel model of network evolution where the dynamics of network follow the mechanism of influence propagation, which are not captured by the existing network evolution models. Our experiments confirm the predictions of our model and demonstrate the important role that social influence can play in the process of network evolution. As well exploring the reason of social network evolution, different genres of social influence have been spotted having different effects on the network dynamics. These findings and ...

  14. Social networks a framework of computational intelligence

    CERN Document Server

    Chen, Shyi-Ming

    2014-01-01

    This volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms.  The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling.  Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social network...

  15. Quantum social networks

    CERN Document Server

    Cabello, Adan; Lopez-Tarrida, Antonio J; Portillo, Jose R

    2011-01-01

    We introduce a physical approach to social networks (SNs) in which each actor is characterized by a yes-no test on a physical system. This is used to measure whether the interactions originating a SN obey pre-existing properties, as in a classical social network (CSN). As an example of SNs beyond CSNs, we introduce quantum social networks (QSNs) as those in which actor $i$ is characterized by a test of whether or not the system is in a quantum state $|\\psi_i>$. We show that QSNs outperform CSNs for a certain task and some graphs. We identify the simplest of these graphs and show that graphs in which QSNs outperform CSNs are increasingly frequent as the number of vertices increases. We also discuss more general SNs and identify the simplest graphs in which QSNs cannot be outperformed.

  16. Fundamental structures of dynamic social networks

    DEFF Research Database (Denmark)

    Sekara, Vedran; Stopczynski, Arkadiusz; Jørgensen, Sune Lehmann

    2016-01-01

    and their interactions in the network of real-world person-to-person proximity measured via Bluetooth, as well as their telecommunication networks, online social media contacts, geolocation, and demographic data. These high-resolution data allow us to observe social groups directly, rendering community detection...... a pattern of recurring meetings across weeks and months, each with varying degrees of regularity. Taken together, these findings provide a powerful simplification of the social network, where cores represent fundamental structures expressed with strong temporal and spatial regularity. Using this framework......, we explore the complex interplay between social and geospatial behavior, documenting how the formation of cores is preceded by coordination behavior in the communication networks and demonstrating that social behavior can be predicted with high precision....

  17. Social Networking Sites and Contact Risks among Flemish Youth

    Science.gov (United States)

    Vandoninck, Sofie; d'Haenens, Leen; De Cock, Rozane; Donoso, Veronica

    2012-01-01

    This study investigates how teenagers use social networking sites (SNS) and other online communication applications, to what extent they are exposed to online contact risks related to the use of these online tools and how they cope with these risks. A written survey was administered among 815 Flemish adolescents aged 14-19. The study controls for…

  18. Bridging Women Rights Networks: Analyzing Interconnected Online Collective Actions

    OpenAIRE

    Serpil T. Yuce; Nitin Agarwal; Wigand, Rolf T.; Merlyna Lim; Rebecca S. Robinson

    2014-01-01

    In recent mass protests such as the Arab Spring and Occupy movements, protesters used social media to spread awareness, coordinate, and mobilize support. Social media-assisted collective action has attracted much attention from journalists, political observers, and researchers of various disciplines. In this article, the authors study transnational online collective action through the lens of inter-network cooperation. The authors analyze interaction and support between the women's rights net...

  19. Social Scholarship: Applying Social Networking Technologies to Research Practices

    Science.gov (United States)

    Greenhow, Christine

    2009-01-01

    Participatory web-based technologies have the potential to change the way scholars engage in scholarship. One reason Web 2.0 technologies, such as online social networking, are not widely integrated in PreK-12 and postsecondary education is the lack of modeling by educators. Their lack of research-based best practices limits the ability to…

  20. Multi-Relational Characterization of Dynamic Social Network Communities

    Science.gov (United States)

    Lin, Yu-Ru; Sundaram, Hari; Kelliher, Aisling

    The emergence of the mediated social web - a distributed network of participants creating rich media content and engaging in interactive conversations through Internet-based communication technologies - has contributed to the evolution of powerful social, economic and cultural change. Online social network sites and blogs, such as Facebook, Twitter, Flickr and LiveJournal, thrive due to their fundamental sense of "community". The growth of online communities offers both opportunities and challenges for researchers and practitioners. Participation in online communities has been observed to influence people's behavior in diverse ways ranging from financial decision-making to political choices, suggesting the rich potential for diverse applications. However, although studies on the social web have been extensive, discovering communities from online social media remains challenging, due to the interdisciplinary nature of this subject. In this article, we present our recent work on characterization of communities in online social media using computational approaches grounded on the observations from social science.

  1. Data Storage for Social Networks A Socially Aware Approach

    CERN Document Server

    Tran, Duc A

    2012-01-01

    Evidenced by the success of Facebook, Twitter, and LinkedIn, online social networks (OSNs) have become ubiquitous, offering novel ways for people to access information and communicate with each other. As the increasing popularity of social networking is undeniable, scalability is an important issue for any OSN that wants to serve a large number of users. Storing user data for the entire network on a single server can quickly lead to a bottleneck, and, consequently, more servers are needed to expand storage capacity and lower data request traffic per server. Adding more servers is just one step

  2. Communication in Animal Social Networks

    NARCIS (Netherlands)

    Snijders, Lysanne; Naguib, Marc

    2017-01-01

    Animal social networks and animal communication networks are key disciplines for understanding animal social behavior, yet these disciplines remain poorly integrated. In this review, we show how communication and social networks are inherently linked, with social signals reflecting and affecting

  3. Social exchange : Relations and networks

    NARCIS (Netherlands)

    Dijkstra, Jacob

    2015-01-01

    In this short paper, I review the literature on social exchange networks, with specific attention to theoretical and experimental research. I indicate how social exchange theory is rooted in general social theory and mention a few of its main links to social network analysis and empirical network re

  4. Social Processes and Pedagogy in Online Learning

    Science.gov (United States)

    Hewson, Lindsay; Hughes, Chris

    2005-01-01

    Online learning environments offer efficient ways of interconnecting group members and satisfying their communicative needs. However, learning does not proceed through shared communication alone; all groups imply social processes and learning groups demand an additional pedagogical intention. Popular online learning systems satisfactorily enable…

  5. Watermarking Social Networking Relational Data using Non-numeric Attribute

    Directory of Open Access Journals (Sweden)

    Rajneeshkaur Bedi

    2011-04-01

    Full Text Available On-line social networking has become a very popular nowadays. This paper studies the copyright issue of on-line social networks data in relational database. Techniques and concepts of mining for social network is discussed which gives rise to the need of watermarking its data. Proving ownership rights on such data is a crucial issue in social network which can be to some extent contribute to privacy preserving issue also. Watermark key is generated on vowel and consonant count and accordingly the profile image is scaled. Our algorithm is robust against common database attacks.

  6. Mining human mobility in location-based social networks

    CERN Document Server

    Gao, Huiji

    2015-01-01

    In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites allow a user to ""check in"" at a real-world POI (point of interest, e.g., a hotel, restaurant, theater, etc.), leave tips toward the POI, and share the check-in with their online friends. The check-in action bridges the gap between real world and online social networks, resulting in a new type of social networks, namely l

  7. Unravelling the Social Network: Theory and Research

    Science.gov (United States)

    Merchant, Guy

    2012-01-01

    Despite the widespread popularity of social networking sites (SNSs) amongst children and young people in compulsory education, relatively little scholarly work has explored the fundamental issues at stake. This paper makes an original contribution to the field by locating the study of this online activity within the broader terrain of social…

  8. Unravelling the Social Network: Theory and Research

    Science.gov (United States)

    Merchant, Guy

    2012-01-01

    Despite the widespread popularity of social networking sites (SNSs) amongst children and young people in compulsory education, relatively little scholarly work has explored the fundamental issues at stake. This paper makes an original contribution to the field by locating the study of this online activity within the broader terrain of social…

  9. Designing for Privacy in Ubiquitous Social Networking

    DEFF Research Database (Denmark)

    Sapuppo, Antonio; Figueiras, Joao

    2015-01-01

    Improving human communication during face–to–face meetings is nowadays possible by transferring online social networking benefits to the physical world. This is enabled by the ubiquitous social networking services that became available by means of wirelessly interconnected smart devices, automati......Improving human communication during face–to–face meetings is nowadays possible by transferring online social networking benefits to the physical world. This is enabled by the ubiquitous social networking services that became available by means of wirelessly interconnected smart devices......, automatically exchanging personal user data. The main goal of these services is to facilitate the initialisation of relationships between people who do not know each other, but they probably should. Given that sharing of personal information is an intrinsic part of ubiquitous social networking, these services...... are subject to crucial privacy threats. Inspired by the usability and privacy limitations of existing design solutions, we identify, describe and qualitatively evaluate four drawbacks to be avoided when designing ubiquitous social networking applications. By addressing these drawbacks, services become more...

  10. Autotagging Facebook: Social Network Context Improves Photo Annotation

    OpenAIRE

    Zickler, Todd; Stone, Zak; Darrell, Trevor

    2008-01-01

    Most personal photos that are shared online are embedded in some form of social network, and these social networks are a potent source of contextual information that can be leveraged for automatic image understanding. In this paper, we investigate the utility of social network context for the task of automatic face recognition in personal photographs. We combine face recognition scores with social context in a conditional random field (CRF) model and apply this model to label faces in photos ...

  11. Social Networks in Silicon Valley

    Institute of Scientific and Technical Information of China (English)

    Joseph Leu

    2006-01-01

    @@ Social network is a dominant, distinguishing characteristic of Silicon Valley. Because innovation entails coping with a high degree of uncertainty,such innovation is particularly dependent on networks.

  12. PSN: Portfolio Social Network

    DEFF Research Database (Denmark)

    Cortes, Jordi Magrina; Nizamani, Sarwat; Memon, Nasrullah

    2014-01-01

    In this paper we present a web-based information system which is a portfolio social network (PSN) that provides solutions to the recruiters and job seekers. The proposed system enables users to create portfolio so that he/she can add his specializations with piece of code if any specifically...

  13. The Analysis of Social Networks.

    Science.gov (United States)

    O'Malley, A James; Marsden, Peter V

    2008-12-01

    Many questions about the social organization of medicine and health services involve interdependencies among social actors that may be depicted by networks of relationships. Social network studies have been pursued for some time in social science disciplines, where numerous descriptive methods for analyzing them have been proposed. More recently, interest in the analysis of social network data has grown among statisticians, who have developed more elaborate models and methods for fitting them to network data. This article reviews fundamentals of, and recent innovations in, social network analysis using a physician influence network as an example. After introducing forms of network data, basic network statistics, and common descriptive measures, it describes two distinct types of statistical models for network data: individual-outcome models in which networks enter the construction of explanatory variables, and relational models in which the network itself is a multivariate dependent variable. Complexities in estimating both types of models arise due to the complex correlation structures among outcome measures.

  14. Odyssey of the Mind: Social Networking in Cyberschool

    Science.gov (United States)

    Barbour, Michael K.; Plough, Cory

    2012-01-01

    K-12 online learning and cyber charter schools have grown at a tremendous rate over the past decade. At the same time, these online programs have struggled to provide the social spaces where students can interact that K-12 schools are traditionally able to provide. Social networking presents a unique opportunity to provide these kinds of social…

  15. Aggregated trustworthiness: Redefining online credibility through social validation

    DEFF Research Database (Denmark)

    Jessen, Johan; Jørgensen, Anker Helms

    2012-01-01

    This article investigates the impact of social dynamics on online credibility. Empirical studies by Pettingill (2006) and Hargittai, et al. (2010) suggest that social validation and online trustees play increasingly important roles when evaluating credibility online. This dynamic puts pressure...

  16. Friend Recommendation Algorithm Based on Mixed Graph in Online Social Networks%基于混合图的在线社交网络朋友推荐算法

    Institute of Scientific and Technical Information of China (English)

    俞琰; 邱广华; 陈爱萍

    2011-01-01

    针对在线社交网络朋友推荐问题,尝试融合多个社会网络为一个混合图模型,采用基于混合图模型的重启动随机游走算法,为用户提供个性化的朋友推荐,并通过参数调节多个网络的权重。实验表明,该算法提高了在线社交网络朋友推荐的准确性。%Aiming at the friend recommendation in online social networks, this paper tries to fuse multiple social net-works into one mixed graph on which the random walk with restart is implemented to provide personalized friend recomendation for users. The different roles of these networks are adjusted by parameters. Experiment demonstrates that this algorithm can improve the accuracy of friend recommendation in online social networks.

  17. Promoting Social Network Awareness: A Social Network Monitoring System

    Science.gov (United States)

    Cadima, Rita; Ferreira, Carlos; Monguet, Josep; Ojeda, Jordi; Fernandez, Joaquin

    2010-01-01

    To increase communication and collaboration opportunities, members of a community must be aware of the social networks that exist within that community. This paper describes a social network monitoring system--the KIWI system--that enables users to register their interactions and visualize their social networks. The system was implemented in a…

  18. Promoting Social Network Awareness: A Social Network Monitoring System

    Science.gov (United States)

    Cadima, Rita; Ferreira, Carlos; Monguet, Josep; Ojeda, Jordi; Fernandez, Joaquin

    2010-01-01

    To increase communication and collaboration opportunities, members of a community must be aware of the social networks that exist within that community. This paper describes a social network monitoring system--the KIWI system--that enables users to register their interactions and visualize their social networks. The system was implemented in a…

  19. Designing for Privacy in Ubiquitous Social Networking

    DEFF Research Database (Denmark)

    Sapuppo, Antonio; Figueiras, Joao

    2015-01-01

    , automatically exchanging personal user data. The main goal of these services is to facilitate the initialisation of relationships between people who do not know each other, but they probably should. Given that sharing of personal information is an intrinsic part of ubiquitous social networking, these services......Improving human communication during face–to–face meetings is nowadays possible by transferring online social networking benefits to the physical world. This is enabled by the ubiquitous social networking services that became available by means of wirelessly interconnected smart devices...... are subject to crucial privacy threats. Inspired by the usability and privacy limitations of existing design solutions, we identify, describe and qualitatively evaluate four drawbacks to be avoided when designing ubiquitous social networking applications. By addressing these drawbacks, services become more...

  20. Social networking mining, visualization, and security

    CERN Document Server

    Dehuri, Satchidananda; Wang, Gi-Nam

    2014-01-01

    With the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques, and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.