Social network supported process recommender system.

Science.gov (United States)

Ye, Yanming; Yin, Jianwei; Xu, Yueshen

2014-01-01

Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

Social Network Supported Process Recommender System

Directory of Open Access Journals (Sweden)

Yanming Ye

2014-01-01

Full Text Available Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.

Social complexity, modernity and suicide: an assessment of Durkheim's suicide from the perspective of a non-linear analysis of complex social systems.

Science.gov (United States)

Condorelli, Rosalia

2016-01-01

Can we share even today the same vision of modernity which Durkheim left us by its suicide analysis? or can society 'surprise us'? The answer to these questions can be inspired by several studies which found that beginning the second half of the twentieth century suicides in western countries more industrialized and modernized do not increase in a constant, linear way as modernization and social fragmentation process increases, as well as Durkheim's theory seems to lead us to predict. Despite continued modernizing process, they found stabilizing or falling overall suicide rate trends. Therefore, a gradual process of adaptation to the stress of modernization associated to low social integration levels seems to be activated in modern society. Assuming this perspective, the paper highlights as this tendency may be understood in the light of the new concept of social systems as complex adaptive systems, systems which are able to adapt to environmental perturbations and generate as a whole surprising, emergent effects due to nonlinear interactions among their components. So, in the frame of Nonlinear Dynamical System Modeling, we formalize the logic of suicide decision-making process responsible for changes at aggregate level in suicide growth rates by a nonlinear differential equation structured in a logistic way, and in so doing we attempt to capture the mechanism underlying the change process in suicide growth rate and to test the hypothesis that system's dynamics exhibits a restrained increase process as expression of an adaptation process to the liquidity of social ties in modern society. In particular, a Nonlinear Logistic Map is applied to suicide data in a modern society such as the Italian one from 1875 to 2010. The analytic results, seeming to confirm the idea of the activation of an adaptation process to the liquidity of social ties, constitutes an opportunity for a more general reflection on the current configuration of modern society, by relating the

Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

International Nuclear Information System (INIS)

Perisic, I.

2004-01-01

Full text: A method of addressing ageing of the workforce and knowledge transfer issues, especially in the area of potential loss of knowledge, is presented through the integration of social networks analysis capabilities within knowledge management systems. In the context of the ageing of the workforce, a key component is the identification of not only the individuals that are about to retire, but also the knowledge and the knowledge transfer capabilities that they will take with them they do so. This loss impacts decisions made about human resources 'supply side' programs such as education, but also programs for building 'communities of practices' within the IAEA community to foster development and research across regions and countries. Within this context, an integrated social network analysis component provides the ability to map out the network of knowledge on any specific topic. The stability of the network itself is a measure of the robustness of the knowledge within the selected IAEA community. Further, the network, by identifying 'brokers' and 'bridges', pinpoints key weaknesses that have to be addressed. In the case of ageing of the workforce, balancing, stabilizing and building redundancies within this social network is key to maintaining a safe nuclear policy. The core of the method relies on a system that has a holistic view of the body of knowledge accumulated within the IAEA community. For scalability issues, this system cannot replicate the plethora of potential sources of information, but rather has to harvest from each of them a set of metadata which in turn enables the knowledge management system. This metadata is defined and stored in a way to allow the rendering of a complete picture stored within the sub-systems. A key component used by the social network analysis component is, of course, the name of all individuals tied to any knowledge object within the database, but also their affiliation, country, seniority or 'age to retirement' (when

Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.

Science.gov (United States)

Lindemann, Elizabeth A; Chen, Elizabeth S; Wang, Yan; Skube, Steven J; Melton, Genevieve B

2017-01-01

As individuals age, there is potential for dramatic changes in the social and behavioral determinants that affect health status and outcomes. The importance of these determinants has been increasingly recognized in clinical decision-making. We sought to characterize how social and behavioral health determinants vary in different demographic groups using a previously established schema of 28 social history types through both manual analysis and automated topic analysis of social documentation in the electronic health record across the population of an entire integrated healthcare system. Our manual analysis generated 8,335 annotations over 1,400 documents, representing 24 (86%) social history types. In contrast, automated topic analysis generated 22 (79%) social history types. A comparative evaluation demonstrated both similarities and differences in coverage between the manual and topic analyses. Our findings validate the widespread nature of social and behavioral determinants that affect health status over populations of individuals over their lifespan.

A study on the social risk comparison for various power systems: focusing on the social acceptance

International Nuclear Information System (INIS)

Jung, Young Soo; Kim, Young Pyung; Lee, Jae Eun

2007-02-01

The objective of this study is to develop measurement indices for social risk acceptance of various power systems(nuclear, coal, oil, LNG, hydro, wind, solar) and compare them empirically. In order to measure social risk acceptance of various power systems, four measurement fields and twelve measurement indices were developed. Measurement areas contains rationality, emotion, trust, communication. Each measurement field has two or three measurement indices. Rationality field has indices of amount of knowledge, recognition of technological utility, risk controllability. Emotion field has indices of experiences, risk recognition. Trust field has indices of openness, sincerity, willingness of sharing knowledge and experiences. Communication field has indices of scientist's roll, media's roll, public relations. Based on these measurement field and indices, this study made questionnaire and surveyed citizens to compare deciding factors of social acceptance on risk of various power systems. Questionnaire respondents were sampled from six different groups, including power system specialists, highschool students, university students, general citizen, professors and environmental NGOs. The methodologies used to analyze the deciding factors of social acceptance on risk of various power systems were frequency analysis, cross-tab analysis, t-test and ANOVA analysis. AHP method was used to analyze power system specialists' perception on relative severance and priority among measurement fields and indices

A study on the social risk comparison for various power systems: focusing on the social acceptance

Energy Technology Data Exchange (ETDEWEB)

Jung, Young Soo [Myongji Univ., Seoul (Korea, Republic of); Kim, Young Pyung [Korea Univ, Seoul (Korea, Republic of); Lee, Jae Eun [Chungbuk Nat. Univ., Cheongju (Korea, Republic of)

2007-02-15

The objective of this study is to develop measurement indices for social risk acceptance of various power systems(nuclear, coal, oil, LNG, hydro, wind, solar) and compare them empirically. In order to measure social risk acceptance of various power systems, four measurement fields and twelve measurement indices were developed. Measurement areas contains rationality, emotion, trust, communication. Each measurement field has two or three measurement indices. Rationality field has indices of amount of knowledge, recognition of technological utility, risk controllability. Emotion field has indices of experiences, risk recognition. Trust field has indices of openness, sincerity, willingness of sharing knowledge and experiences. Communication field has indices of scientist's roll, media's roll, public relations. Based on these measurement field and indices, this study made questionnaire and surveyed citizens to compare deciding factors of social acceptance on risk of various power systems. Questionnaire respondents were sampled from six different groups, including power system specialists, highschool students, university students, general citizen, professors and environmental NGOs. The methodologies used to analyze the deciding factors of social acceptance on risk of various power systems were frequency analysis, cross-tab analysis, t-test and ANOVA analysis. AHP method was used to analyze power system specialists' perception on relative severance and priority among measurement fields and indices.

Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

International Nuclear Information System (INIS)

Perisic, I.

2004-01-01

Full text: A method of addressing ageing of the workforce and knowledge transfer issues, especially in the area of potential loss of knowledge, is presented through the integration of social networks analysis capabilities within knowledge management systems. In the context of the ageing of the workforce, a key component is the identification of not only the individuals that are about to retire, but also the knowledge and the knowledge transfer capabilities that they will take with them they do so. This loss impacts decisions made about human resources 'supply side' programs such as education, but also programs for building 'communities of practices' within the IAEA community to foster development and research across regions and countries. Within this context, an integrated social network analysis component provides the ability to map out the network of knowledge on any specific topic. The stability of the network itself is a measure of the robustness of the knowledge within the selected IAEA community. Further, the network, by identifying 'brokers' and 'bridges', pinpoints key weaknesses that have to be addressed. In the case of ageing of the workforce, balancing, stabilizing and building redundancies within this social network is key to maintaining a safe nuclear policy. The core of the method relies on a system that has a holistic view of the body of knowledge accumulated within the IAEA community. For scalability issues, this system cannot replicate the plethora of potential sources of information, but rather has to harvest from each of them a set of metadata which in turn enables the knowledge management system. This metadata is defined and stored in a way to allow the rendering of a complete picture stored within the subsystems. A key component used by the social network analysis component is, of course, the name of all individuals tied to any knowledge object within the database, but also their affiliation, country, seniority or 'age to retirement' (when

Systems change for the social determinants of health.

Science.gov (United States)

Carey, Gemma; Crammond, Brad

2015-07-14

Inequalities in the distribution of the social determinants of health are now a widely recognised problem, seen as requiring immediate and significant action (CSDH. Closing the Gap in a Generation. Geneva: WHO; 2008; Marmot M. Fair Society, Healthy Lives: The Marmot Review. Strategic Review of Health Inequalitites in England Post-2010. London; 2010). Despite recommendations for action on the social determinants of health dating back to the 1980s, inequalities in many countries continue to grow. In this paper we provide an analysis of recommendations from major social determinants of health reports using the concept of 'system leverage points'. Increasingly, powerful and effective action on the social determinants of health is conceptualised as that which targets government action on the non-health issues which drive health outcomes. Recommendations for action from 6 major national reports on the social determinants of health were sourced. Recommendations from each report were coded against two frameworks: Johnston et al's recently developed Intervention Level Framework (ILF) and Meadow's seminal '12 places to intervene in a system' (Johnston LM, Matteson CL, Finegood DT. Systems Science and Obesity Policy: A Novel Framework for Analyzing and Rethinking Population-Level Planning. American journal of public health. 2014;(0):e1-e9; Meadows D. Thinking in Systems. USA: Sustainability Institute; 1999) (N = 166). Our analysis found several major changes over time to the types of recommendations being made, including a shift towards paradigmatic change and away from individual interventions. Results from Meadow's framework revealed a number of potentially powerful system intervention points that are currently underutilised in public health thinking regarding action on the social determinants of health. When viewed through a systems lens, it is evident that the power of an intervention comes not from where it is targeted, but rather how it works to create change within the

Social Security System in India: An International Comparative Analysis

OpenAIRE

Jha, Rupak Kumar; Bhattacharyya, Surajit

2010-01-01

This paper examines selected components of social security system in India and compares them with their OECD counterparts. Historically, the Indian policy makers have viewed the pension system as a welfare measure and therefore, it lacks in financial professionalism, diversification, and in the belief that pension funds can also be treated as an asset. The Indian system is biased towards the organized formal sector as workers in this sector are benefitted with the provisions under various lab...

Combining network analysis with Cognitive Work Analysis: insights into social organisational and cooperation analysis.

Science.gov (United States)

Houghton, Robert J; Baber, Chris; Stanton, Neville A; Jenkins, Daniel P; Revell, Kirsten

2015-01-01

Cognitive Work Analysis (CWA) allows complex, sociotechnical systems to be explored in terms of their potential configurations. However, CWA does not explicitly analyse the manner in which person-to-person communication is performed in these configurations. Consequently, the combination of CWA with Social Network Analysis provides a means by which CWA output can be analysed to consider communication structure. The approach is illustrated through a case study of a military planning team. The case study shows how actor-to-actor and actor-to-function mapping can be analysed, in terms of centrality, to produce metrics of system structure under different operating conditions. In this paper, a technique for building social network diagrams from CWA is demonstrated.The approach allows analysts to appreciate the potential impact of organisational structure on a command system.

Usage of Social Network Analysis (Sna in Crisis Management

Directory of Open Access Journals (Sweden)

Güreşci Hakan

2016-06-01

Full Text Available Social systems are complex structures that consist of different sub-systems. Therefore, understanding social systems is more difficult than comprehending electronic or mechanical systems. What makes social systems more complex than other systems is that society is not simply the sum of each individual in the society. In the current global system, the countries, which have become small villages, try to meet national security needs by converting the unknown to known and identifying the correlation among political, military, social and economic events. The current crisis management concepts are conducted through systematic approaches. Besides, the management of social, economic and political crises need to be conducted in a holistic approach covering all sub-systems. At this point, the function of Social Network Analysis (SNA emerges. SNA, which forms the main subject of this paper, is a tool for examining the structure of a crisis through correlating the sub-elements. The aim of this study is to show how SNA can be used in crisis management. First, SNA is performed on a generic crisis situation and the results are presented. Then, the additional critical data requirements are put forward to manage the crisis effectively.

A Southern perspective for a social movements´ analysis

Directory of Open Access Journals (Sweden)

Lorena Camacho De la O

2014-10-01

Full Text Available This article establishes a reflection around Boaventura de Sousa Santos thought related to the reality`s social study. The focus is an implementation exercise of some of his categories linked to the social movements’ analysis via a particular case. With this in mind, it pretends to direct the analysis to the social movements (or people in motion as an indigenous claim discussion, part of the social science’s current debate. A central focus is the contrast of the social movement category with De Sousa`s (2009 proposals of “the sociology of absents”, “the sociology of the emergencies” and the “translation exercise” to reveal the heuristic richness of this thought as an explanation model for actual Costa Rican sociopolitical movements in the contemporaneous systemic social crisis context. Besides, this critical analysis process would help to comprehend the decolonial perspective`s utility and politic potential in particular social contexts studies, for example: Costa Rica.

The Social Commerce System

Directory of Open Access Journals (Sweden)

Dubovyk Tetiana V.

2017-03-01

Full Text Available The social commerce is a relatively new phenomenon, found in the little researched direction of trade. Research results by the authors have provided to systematize the views on the concept of «social commerce», characterize the social commerce system, propose measures to develop a social commerce strategy. The authors have defined the social commerce as expansion of e-commerce in the social networks on the Internet, in which social factors are significant, and consumers use the right to create content through the media via forums, ratings, reviews, and recommendations on different platforms. Enterprises are advised to use social tools to perform social interaction with consumers in social networks, create a social climate in view of the social support on the Web. The authors have proposed the concept of «social commerce system», structure of which contains the following elements: individuality of consumer, social communications, social communities, e-commerce; defined the multidimensional attributes that are naturally associated with all four elements of the social commerce. They cover the quality of information, system quality, quality of service, convenience and ease-of-use, payment mechanism.

Preserving and maintaining vital Ecosystem Services: the importance of linking knowledge from Geosciences and social-ecological System analysis

Science.gov (United States)

Finger, David; Petursdottir, Thorunn

2013-04-01

Human kind has always been curios and motivated to understand and quantify environmental processes in order to predict and anticipate the evolution of vital ecosystem services. Even the very first civilizations used empirical correlations to predict outcomes of rains and subsequent harvest efficiencies. Along with the insights into the functioning of ecosystems, humans also became aware that their anthropogenic activities can have positive and negative impact on ecosystem services. In recent years, geosciences have brought forward new sophisticated observations and modeling tools, with the aim to improve predictions of ecological developments. At the same time, the added value of linking ecological factors to the surrounding social structure has received a growing acceptance among scientists. A social-ecological system approach brings in a holistic understanding of how these systems are inevitably interlinked and how their sustainability can be better maintained. We claim that the biggest challenge for geoscience in the coming decades will be to link these two disciplines in order to establish adequate strategies to preserve natural ecosystems and their services, parallel to their utilization. We will present various case studies from more than a decade of research, ranging from water quality in mountain lakes, climate change impacts on water availability and declining fishing yields in freshwaters and discuss how the studies outcomes could be given added value by interpreting them via social-ecological system analysis. For instance, sophisticated field investigations revealed that deep water mixing in lake Issyk-Kul, Kirgizstan, is intensively distributing pollutants in the entire lake. Although fishery is an important sector in the region, the local awareness of the importance of water quality is low. In Switzerland, strict water protection laws led to ologotrophication of alpine lakes, reducing fishing yields. While local fishermen argued that local fishery is

Autopoiesis of the techno-social systems as a factor of social risks proliferation

Directory of Open Access Journals (Sweden)

D E Orlov

2015-12-01

Full Text Available The article describes the problem of the unpredictable proliferation and complication of techno-social systems (such as Internet and financial markets. The authors try to explicate the social risks generated by these systems with the theoretical resources of the system theory of communication (N. Luhmann, which is based on the concepts of ‘recursion’, ‘process’ (‘operation’, ‘operationally closed system’, ‘autopoiesis’, etc. The authors believe that the autopoietic system response to external stimuli cannot be predicted by classical means of sociology and cybernetics. Turbulence and continuous complication of techno-social objects let the authors suggest that the dynamics of the systems under consideration contains some features of autopoiesis. Thus, the analysis of the financial market as a complex techno-social object based on the ideas of G. Akerlof (theory of irrational economic behavior and K. Knorr Cetina (object-centric sociology allows to better understand the phenomenon of unpredictable market dynamics (the risk of proliferation of market expectations, inability to capture the control level by any of the participants, etc. The authors believe that such a conceptualization helps to bring together sociological practices of the techno-social objects research and perspective methods of applied mathematics (fractal geometry, theory of reflexive relations, ‘soft’ models, etc., as well as contributes to the search of effective tools for modeling complex techno-social objects, and, thus, social risks accompanying them.

Preliminary Context Analysis of Community Informatics Social ...

African Journals Online (AJOL)

Preliminary context analysis is always part of the feasibility study phase in the development of information system for Community Development (CD) purposes. In this paper, a context model and a preliminary context analysis are presented for Social Network Web Application (SNWA) for CD in the Niger Delta region of ...

Social Accountable Medical Education: A concept analysis.

Science.gov (United States)

Abdolmaleki, Mohammadreza; Yazdani, Shahram; Momeni, Sedigheh; Momtazmanesh, Nader

2017-07-01

Considering the pervasiveness of social accountable medical education concept around the world and the growing trend of literature in this regard as well as various interpretations made about this concept, we found it necessary to analyze the concept of social accountable medical education. In this study, the modified version of McKenna's approach to concept analysis was used to determine the concept, explain structures and substructures and determine the border concepts neighboring and against social accountability in medical education. By studying the selected sources,the components of the concept were obtained to identify it and express an analytic definition of social accountability in medical education system. Then, a model case with all attributes of the given concept and the contrary and related concepts were mentioned to determine the boundary between the main concept and auxiliary ones. According to the results of this study in the field of social accountability, the detailed and transparent analytical definition of social accountable medical education can be used in future studies as well as the function and evaluation of medical education system.

Mal-Netminer: Malware Classification Approach Based on Social Network Analysis of System Call Graph

Directory of Open Access Journals (Sweden)

Jae-wook Jang

2015-01-01

Full Text Available As the security landscape evolves over time, where thousands of species of malicious codes are seen every day, antivirus vendors strive to detect and classify malware families for efficient and effective responses against malware campaigns. To enrich this effort and by capitalizing on ideas from the social network analysis domain, we build a tool that can help classify malware families using features driven from the graph structure of their system calls. To achieve that, we first construct a system call graph that consists of system calls found in the execution of the individual malware families. To explore distinguishing features of various malware species, we study social network properties as applied to the call graph, including the degree distribution, degree centrality, average distance, clustering coefficient, network density, and component ratio. We utilize features driven from those properties to build a classifier for malware families. Our experimental results show that “influence-based” graph metrics such as the degree centrality are effective for classifying malware, whereas the general structural metrics of malware are less effective for classifying malware. Our experiments demonstrate that the proposed system performs well in detecting and classifying malware families within each malware class with accuracy greater than 96%.

Multiplex social ecological network analysis reveals how social changes affect community robustness more than resource depletion.

Science.gov (United States)

Baggio, Jacopo A; BurnSilver, Shauna B; Arenas, Alex; Magdanz, James S; Kofinas, Gary P; De Domenico, Manlio

2016-11-29

Network analysis provides a powerful tool to analyze complex influences of social and ecological structures on community and household dynamics. Most network studies of social-ecological systems use simple, undirected, unweighted networks. We analyze multiplex, directed, and weighted networks of subsistence food flows collected in three small indigenous communities in Arctic Alaska potentially facing substantial economic and ecological changes. Our analysis of plausible future scenarios suggests that changes to social relations and key households have greater effects on community robustness than changes to specific wild food resources.

Changing Social and Environmental Reporting Systems

DEFF Research Database (Denmark)

Kaspersen, Mia; Riise Johansen, Thomas

2016-01-01

Based on a case study of a large multinational group, this paper addresses the way in which social and environmental reporting (SER) systems were changed and the consequences and controversies associated with this change. Drawing on Power's work on the processes by which things are made auditable...... via underlying systems, we focus on how and why a specific programme with auditability as its ultimate aim changed the basis on which the external social and environmental report was prepared. Our analysis demonstrates that the perceived alignment with the financial report preparation and the explicit...... pursuit of auditability legitimized SER and paved the way for data systems to be changed. The programme borrowed authority from financial accounting technologies not only to make a system change but also to push SER internally, as we suggest that an intraorganizational group used the programme to ensure...

Performance systems and social capital

DEFF Research Database (Denmark)

Rasmussen, Grane Mikael Gregaard; Edwards, Kasper

2014-01-01

Performance systems and social capital are considered mutually exclusive. Contemporary studies show that social capital is essential in generating performance improvement. This raises an important question: “How do performance systems and social capital correspond?” This study draws on findings...... from a study on implementation of a performance system in Danish construction. The results show causalities between implementing the performance system and the emergence of social capital in construction projects. Results indicate that performance systems and social capital is not mutually exclusive...

Applications of social media and social network analysis

CERN Document Server

Kazienko, Przemyslaw

2015-01-01

This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to commun

Evaluating pay-as-you-go social security systems

OpenAIRE

Bachmann, Andreas; Wüthrich, Kaspar

2013-01-01

This paper proposes a new method for welfare analysis of unfunded social security systems. Based on an overlapping generations model with endogenous labor supply, we derive a formula for the evaluation of existing pay-as-you-go social security systems that depends on impulse response functions and projected growth rates only. We propose an implementation strategy based on reduced form estimates of a VAR model that is valid under weak assumptions about the deep structure of the model. Our meth...

Scenario analysis for biodiversity conservation: a social-ecological system approach in the Australian Alps.

Science.gov (United States)

Mitchell, Michael; Lockwood, Michael; Moore, Susan A; Clement, Sarah

2015-03-01

Current policy interventions are having limited success in addressing the ongoing decline in global biodiversity. In part, this is attributable to insufficient attention being paid to the social and governance processes that drive decisions and can undermine their implementation. Scenario planning that draws on social-ecological systems (SES) analysis provides a useful means to systematically explore and anticipate future uncertainties regarding the interaction between humans and biodiversity outcomes. However, the effective application of SES models has been limited by the insufficient attention given to governance influences. Understanding the influence governance attributes have on the future trajectory of SES is likely to assist choice of effective interventions, as well as needs and opportunities for governance reform. In a case study in the Australian Alps, we explore the potential of joint SES and scenario analyses to identify how governance influences landscape-scale biodiversity outcomes. Novel aspects of our application of these methods were the specification of the focal system's governance attributes according to requirements for adaptive capacity, and constraining scenarios according to the current governance settings while varying key social and biophysical drivers. This approach allowed us to identify how current governance arrangements influence landscape-scale biodiversity outcomes, and establishes a baseline from which the potential benefits of governance reform can be assessed. Copyright © 2014 Elsevier Ltd. All rights reserved.

Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis

Directory of Open Access Journals (Sweden)

Zhengqi He

2018-04-01

Full Text Available In China, large hydraulic engineering projects have made a great contribution to social economic development; at the same time, they also lead to social risks that affect social stability. The pluralism of stakeholders in large hydraulic engineering projects and the complex interrelationship among stakeholders are the important factors affecting social stability risk. Previous studies of social stability risk have mainly focused on risk identification and risk assessment, without considering the relationships among stakeholders and their linkages of risks. For large hydraulic engineering projects, this paper investigated the relevant risk factors and their interrelationships through a literature review and interviews that represented stakeholder perspectives. The key social stability risk factors were identified based on social network analysis. A multi-channel project financial system, a perfect interest compensation mechanism, an efficient prevention mechanism of group events, and a complete project schedule control system were proposed to mitigate the social stability risks. This study combined stakeholder management with risk management by using social network analysis, providing reference for the social stability risk management of large engineering projects in China.

Social Accountable Medical Education: A concept analysis

Science.gov (United States)

ABDOLMALEKI, MOHAMMADREZA; YAZDANI, SHAHRAM; MOMENI, SEDIGHEH; MOMTAZMANESH, NADER

2017-01-01

Introduction: Considering the pervasiveness of social accountable medical education concept around the world and the growing trend of literature in this regard as well as various interpretations made about this concept, we found it necessary to analyze the concept of social accountable medical education. Methods: In this study, the modified version of McKenna’s approach to concept analysis was used to determine the concept, explain structures and substructures and determine the border concepts neighboring and against social accountability in medical education. Results: By studying the selected sources,the components of the concept were obtained to identify it and express an analytic definition of social accountability in medical education system. Then, a model case with all attributes of the given concept and the contrary and related concepts were mentioned to determine the boundary between the main concept and auxiliary ones. Conclusion: According to the results of this study in the field of social accountability, the detailed and transparent analytical definition of social accountable medical education can be used in future studies as well as the function and evaluation of medical education system. PMID:28761884

What determines social capital in a social-ecological system? Insights from a network perspective.

Science.gov (United States)

Barnes-Mauthe, Michele; Gray, Steven Allen; Arita, Shawn; Lynham, John; Leung, PingSun

2015-02-01

Social capital is an important resource that can be mobilized for purposive action or competitive gain. The distribution of social capital in social-ecological systems can determine who is more productive at extracting ecological resources and who emerges as influential in guiding their management, thereby empowering some while disempowering others. Despite its importance, the factors that contribute to variation in social capital among individuals have not been widely studied. We adopt a network perspective to examine what determines social capital among individuals in social-ecological systems. We begin by identifying network measures of social capital relevant for individuals in this context, and review existing evidence concerning their determinants. Using a complete social network dataset from Hawaii's longline fishery, we employ social network analysis and other statistical methods to empirically estimate these measures and determine the extent to which individual stakeholder attributes explain variation within them. We find that ethnicity is the strongest predictor of social capital. Measures of human capital (i.e., education, experience), years living in the community, and information-sharing attitudes are also important. Surprisingly, we find that when controlling for other factors, industry leaders and formal fishery representatives are generally not well connected. Our results offer new quantitative insights on the relationship between stakeholder diversity, social networks, and social capital in a coupled social-ecological system, which can aid in identifying barriers and opportunities for action to overcome resource management problems. Our results also have implications for achieving resource governance that is not only ecologically and economically sustainable, but also equitable.

What Determines Social Capital in a Social-Ecological System? Insights from a Network Perspective

Science.gov (United States)

Barnes-Mauthe, Michele; Gray, Steven Allen; Arita, Shawn; Lynham, John; Leung, PingSun

2015-02-01

Social capital is an important resource that can be mobilized for purposive action or competitive gain. The distribution of social capital in social-ecological systems can determine who is more productive at extracting ecological resources and who emerges as influential in guiding their management, thereby empowering some while disempowering others. Despite its importance, the factors that contribute to variation in social capital among individuals have not been widely studied. We adopt a network perspective to examine what determines social capital among individuals in social-ecological systems. We begin by identifying network measures of social capital relevant for individuals in this context, and review existing evidence concerning their determinants. Using a complete social network dataset from Hawaii's longline fishery, we employ social network analysis and other statistical methods to empirically estimate these measures and determine the extent to which individual stakeholder attributes explain variation within them. We find that ethnicity is the strongest predictor of social capital. Measures of human capital (i.e., education, experience), years living in the community, and information-sharing attitudes are also important. Surprisingly, we find that when controlling for other factors, industry leaders and formal fishery representatives are generally not well connected. Our results offer new quantitative insights on the relationship between stakeholder diversity, social networks, and social capital in a coupled social-ecological system, which can aid in identifying barriers and opportunities for action to overcome resource management problems. Our results also have implications for achieving resource governance that is not only ecologically and economically sustainable, but also equitable.

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…

Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

DEFF Research Database (Denmark)

Mukkamala, Raghava Rao; Iskou Sørensen, Jannie; Hussain, Abid

2015-01-01

social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show...

A study and analysis of recommendation systems for location-based social network (LBSN with big data

Directory of Open Access Journals (Sweden)

Murale Narayanan

2016-03-01

Full Text Available Recommender systems play an important role in our day-to-day life. A recommender system automatically suggests an item to a user that he/she might be interested in. Small-scale datasets are used to provide recommendations based on location, but in real time, the volume of data is large. We have selected Foursquare dataset to study the need for big data in recommendation systems for location-based social network (LBSN. A few quality parameters like parallel processing and multimodal interface have been selected to study the need for big data in recommender systems. This paper provides a study and analysis of quality parameters of recommendation systems for LBSN with big data.

Static, Dynamic and Semantic Dimensions: Towards a Multidisciplinary Approach of Social Networks Analysis

Science.gov (United States)

Thovex, Christophe; Trichet, Francky

The objective of our work is to extend static and dynamic models of Social Networks Analysis (SNA), by taking conceptual aspects of enterprises and institutions social graph into account. The originality of our multidisciplinary work is to introduce abstract notions of electro-physic to define new measures in SNA, for new decision-making functions dedicated to Human Resource Management (HRM). This paper introduces a multidimensional system and new measures: (1) a tension measure for social network analysis, (2) an electrodynamic, predictive and semantic system for recommendations on social graphs evolutions and (3) a reactance measure used to evaluate the individual stress at work of the members of a social network.

Social Network Analysis and informal trade

DEFF Research Database (Denmark)

Walther, Olivier

networks can be applied to better understand informal trade in developing countries, with a particular focus on Africa. The paper starts by discussing some of the fundamental concepts developed by social network analysis. Through a number of case studies, we show how social network analysis can...... illuminate the relevant causes of social patterns, the impact of social ties on economic performance, the diffusion of resources and information, and the exercise of power. The paper then examines some of the methodological challenges of social network analysis and how it can be combined with other...... approaches. The paper finally highlights some of the applications of social network analysis and their implications for trade policies....

Learning Companion Systems, Social Learning Systems, and the Global Social Learning Club.

Science.gov (United States)

Chan, Tak-Wai

1996-01-01

Describes the development of learning companion systems and their contributions to the class of social learning systems that integrate artificial intelligence agents and use machine learning to tutor and interact with students. Outlines initial social learning projects, their programming languages, and weakness. Future improvements will include…

Identifying the new Influencers in the Internet Era: Social Media and Social Network Analysis

Directory of Open Access Journals (Sweden)

MIGUEL DEL FRESNO GARCÍA

2016-01-01

Full Text Available Social media influencers (SMIs can be defined as a new type of independent actor who are able to shape audience attitudes through the use of social media channels in competition and coexistence with professional media. Being able to accurately identify SMIs is critical no matter what is being transmitted in a social system. Social Network Analysis (SNA has been recognized as a powerful tool for representing social network structures and information dissemination. SMIs can be identifi ed by their high-ranking position in a network as the most important or central nodes. The results reveal the existence of three different typologies of SMIs: disseminator, engager and leader. This methodology permits the optimization of resources to create effective online communication strategies.

A practical procedure for assessing resilience of social-ecological system using the System Dynamics Approach

Directory of Open Access Journals (Sweden)

Newton Paulo Bueno

2009-12-01

Full Text Available While growing attention has been paid to the idea of resilience of social-ecological systems, it seems that there still are a number of gaps to bridge before we could really use this concept for practical purposes. The main problem is that the most of the works in the field are unclear on how to unequivocally measure the degree of resilience of particular social-ecological systems. In this paper, we suggest to be possible identifying the loss of resilience of social-ecological systems as a process of loop dominance shift. In order to illustrate the argument, we use a very stylized system dynamics model for irrigation systems developed by scholars associated to the Workshop in Political Theory and Policy Analysis at Indiana University.

Social phenotype extended to communities: expanded multilevel social selection analysis reveals fitness consequences of interspecific interactions.

Science.gov (United States)

Campobello, Daniela; Hare, James F; Sarà, Maurizio

2015-04-01

In social species, fitness consequences are associated with both individual and social phenotypes. Social selection analysis has quantified the contribution of conspecific social traits to individual fitness. There has been no attempt, however, to apply a social selection approach to quantify the fitness implications of heterospecific social phenotypes. Here, we propose a novel social selection based approach integrating the role of all social interactions at the community level. We extended multilevel selection analysis by including a term accounting for the group phenotype of heterospecifics. We analyzed nest activity as a model social trait common to two species, the lesser kestrel (Falco naumanni) and jackdaw (Corvus monedula), nesting in either single- or mixed-species colonies. By recording reproductive outcome as a measure of relative fitness, our results reveal an asymmetric system wherein only jackdaw breeding performance was affected by the activity phenotypes of both conspecific and heterospecific neighbors. Our model incorporating heterospecific social phenotypes is applicable to animal communities where interacting species share a common social trait, thus allowing an assessment of the selection pressure imposed by interspecific interactions in nature. Finally, we discuss the potential role of ecological limitations accounting for random or preferential assortments among interspecific social phenotypes, and the implications of such processes to community evolution. © 2015 The Author(s).

Resilient Social Relationships and Collaboration in the Management of Social-Ecological Systems

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Abraham B. Nkhata

2008-06-01

Full Text Available This paper proposes and articulates a social relationships perspective of collaboration in the management of social-ecological systems (SESs. It provides a conceptual premise for understanding the dynamics of long-term social relationships that underlie collaborative processes. We argue that a resilience approach offers a better perspective for the study of change in long-term relationships. A conceptual framework based on the theories of resilience and social relationships is developed for analyzing the evolution of collaborative schemes. The essence of the framework is to facilitate understanding and building of resilient social relationships for effective collaboration through interpreting and managing relational change. We suggest that an analysis of resilient social relationships requires an understanding of the complexity and extent of relational change. The elements of a behavioral approach to relationships theory are discussed as a foundation for resilient social relationships. By incorporating the models of Holling (1995 and Cousins (2002 into a behavioral approach to relationships theory, the framework we propose can be used to determine the potential for change based on the amount of relational capital and the degree of relational connectedness in long-term social relationships.

Investigation of Spatial Data with Open Source Social Network Analysis and Geographic Information Systems Applications

Science.gov (United States)

Sabah, L.; Şimşek, M.

2017-11-01

Social networks are the real social experience of individuals in the online environment. In this environment, people use symbolic gestures and mimics, sharing thoughts and content. Social network analysis is the visualization of complex and large quantities of data to ensure that the overall picture appears. It is the understanding, development, quantitative and qualitative analysis of the relations in the social networks of Graph theory. Social networks are expressed in the form of nodes and edges. Nodes are people/organizations, and edges are relationships between nodes. Relations are directional, non-directional, weighted, and weightless. The purpose of this study is to examine the effects of social networks on the evaluation of person data with spatial coordinates. For this, the cluster size and the effect on the geographical area of the circle where the placements of the individual are influenced by the frequently used placeholder feature in the social networks have been studied.

The Social Commerce System

OpenAIRE

Dubovyk Tetiana V.; Ortynska Valentyna V.

2017-01-01

The social commerce is a relatively new phenomenon, found in the little researched direction of trade. Research results by the authors have provided to systematize the views on the concept of «social commerce», characterize the social commerce system, propose measures to develop a social commerce strategy. The authors have defined the social commerce as expansion of e-commerce in the social networks on the Internet, in which social factors are significant, and consumers use the right to creat...

Social Pedagogy in Finland and Sweden: a comparative analysis

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Juha Hämäläinen

2015-12-01

Full Text Available Discussing how the concept of social pedagogy has been used in Finland and Sweden, this paper provides a historical and systemic comparison of policies and practices of social pedagogy in these two countries. The main aim is to identify and explain the main similarities and differences between the Finnish and Swedish national trajectories of social pedagogical thinking and action. In the first phase of the analysis, country-specific features of social pedagogy were described paying attention to historical and structural aspects. In the second phase, these descriptions were compared in a dialogue between the au- thors, one from Finland and the other from Sweden. The dialogue-based comparison was targeted to ex- plain the identified similar and different features of social pedagogical policies and practices. The explanation was based on historical and systemic considerations, especially those of historical development, research activities, theory buildings, methodologies and techniques, professionalization and the practice fields, and the future prospects of social pedagogy.The analysis showed that the historical roots and theoretical foundations of social pedagogical think- ing and action are very similar in Finland and Sweden but the position of social pedagogy  as an academic discipline  as well as a field of practice is partly different. Since social pedagogy has not been acknowl- edged as an academic discipline in Sweden, its outlook as a field of practice is on shaky ground, while in Finland the future of social pedagogy as an academic discipline  is uncertain because the social-peda- gogical know-how based on academic education is not well known and has not found general acceptance in the field’s practice.The analysis showed that the historical roots and theoretical foundations of social pedagogical thinking and action are very similar in Finland and Sweden but the position of social pedagogy as an academic discipline as well as a

Geo-Spatial Social Network Analysis of Social Media to Mitigate Disasters

Science.gov (United States)

Carley, K. M.

2017-12-01

Understanding the spatial layout of human activity can afford a better understanding many phenomena - such as local cultural, the spread of ideas, and the scope of a disaster. Today, social media is one of the key sensors for acquiring information on socio-cultural activity, some with cues as to the geo-location. We ask, What can be learned by putting such data on maps? For example, are people who chat on line more likely to be near each other? Can Twitter data support disaster planning or early warning? In this talk, such issues are examined using data collected via Twitter and analyzed using ORA. ORA is a network analysis and visualization system. It supports not just social networks (who is interacting with whom), but also high dimensional networks with many types of nodes (e.g. people, organizations, resources, activities …) and relations, geo-spatial network analysis, dynamic network analysis, & geo-temporal analysis. Using ORA lessons learned from five case studies are considered: Arab Spring, Tsunami warning in Padang Indonesia, Twitter around Fukushima in Japan, Typhoon Haiyan (Yolanda), & regional conflict. Using Padang Indonesia data, we characterize the strengths and limitations of social media data to support disaster planning & early warning, identify at risk areas & issues of concern, and estimate where people are and which areas are impacted. Using Fukushima Japanese data, social media is used to estimate geo-spatial regularities in movement and communication that can inform disaster response and risk estimation. Using Arab Spring data, we find that the spread of bots & extremists varies by country and time, to the extent that using twitter to understand who is important or what ideas are critical can be compromised. Bots and extremists can exploit disaster messaging to create havoc and facilitate criminal activity e.g. human trafficking. Event discovery mechanisms support isolating geo-epi-centers for key events become crucial. Spatial inference

Social network analysis and supply chain management

Directory of Open Access Journals (Sweden)

Raúl Rodríguez Rodríguez

2016-01-01

Full Text Available This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes.

Social network analysis applied to team sports analysis

CERN Document Server

Clemente, Filipe Manuel; Mendes, Rui Sousa

2016-01-01

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.

Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems

Energy Technology Data Exchange (ETDEWEB)

Steed, Chad A [ORNL; Beaver, Justin M [ORNL; BogenII, Paul L. [Google Inc.; Drouhard, Margaret MEG G [ORNL; Pyle, Joshua M [ORNL

2015-01-01

In this paper, we introduce a new visual analytics system, called Matisse, that allows exploration of global trends in textual information streams with specific application to social media platforms. Despite the potential for real-time situational awareness using these services, interactive analysis of such semi-structured textual information is a challenge due to the high-throughput and high-velocity properties. Matisse addresses these challenges through the following contributions: (1) robust stream data management, (2) automated sen- timent/emotion analytics, (3) inferential temporal, geospatial, and term-frequency visualizations, and (4) a flexible drill-down interaction scheme that progresses from macroscale to microscale views. In addition to describing these contributions, our work-in-progress paper concludes with a practical case study focused on the analysis of Twitter 1% sample stream information captured during the week of the Boston Marathon bombings.

Social Roots of Global Environmental Change: A World-Systems Analysis of Carbon Dioxide Emissions

Directory of Open Access Journals (Sweden)

J. Timmons Roberts

2015-08-01

Full Text Available Carbon dioxide is understood to be the most important greenhouse gas believed to be altering the global climate. This article applies world-system theory to environmental damage. An analysis of 154 countries examines the contribution of both position in the world economy and internal class and political forces in determining a nation's CO, intensity. CO, intensity is defined here as the amount of carbon dioxide released per unit of economic output. An inverted U distribution of CO, intensity across the range of countries in the global stratification system is identified and discussed. Ordinary Least Squares regression suggests that the least efficient consumers of fossil fuels are some countries within the semi-periphery and upper periphery, spe-cifically those nations which are high exporters, those highly in debt, nations with higher military spending, and those with a repressive social structure.

A systematic review protocol: social network analysis of tobacco use.

Science.gov (United States)

Maddox, Raglan; Davey, Rachel; Lovett, Ray; van der Sterren, Anke; Corbett, Joan; Cochrane, Tom

2014-08-08

Tobacco use is the single most preventable cause of death in the world. Evidence indicates that behaviours such as tobacco use can influence social networks, and that social network structures can influence behaviours. Social network analysis provides a set of analytic tools to undertake methodical analysis of social networks. We will undertake a systematic review to provide a comprehensive synthesis of the literature regarding social network analysis and tobacco use. The review will answer the following research questions: among participants who use tobacco, does social network structure/position influence tobacco use? Does tobacco use influence peer selection? Does peer selection influence tobacco use? We will follow the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines and search the following databases for relevant articles: CINAHL (Cumulative Index to Nursing and Allied Health Literature); Informit Health Collection; PsycINFO; PubMed/MEDLINE; Scopus/Embase; Web of Science; and the Wiley Online Library. Keywords include tobacco; smoking; smokeless; cigarettes; cigar and 'social network' and reference lists of included articles will be hand searched. Studies will be included that provide descriptions of social network analysis of tobacco use.Qualitative, quantitative and mixed method data that meets the inclusion criteria for the review, including methodological rigour, credibility and quality standards, will be synthesized using narrative synthesis. Results will be presented using outcome statistics that address each of the research questions. This systematic review will provide a timely evidence base on the role of social network analysis of tobacco use, forming a basis for future research, policy and practice in this area. This systematic review will synthesise the evidence, supporting the hypothesis that social network structures can influence tobacco use. This will also include exploring the relationship between social

RECOMMENDER SYSTEMS IN SOCIAL NETWORKS

Directory of Open Access Journals (Sweden)

Cleomar Valois Batista Jr

2011-12-01

Full Text Available The continued and diversified growth of social networks has changed the way in which users interact with them. With these changes, what once was limited to social contact is now used for exchanging ideas and opinions, creating the need for new features. Users have so much information at their fingertips that they are unable to process it by themselves; hence, the need to develop new tools. Recommender systems were developed to address this need and many techniques were used for different approaches to the problem. To make relevant recommendations, these systems use large sets of data, not taking the social network of the user into consideration. Developing a recommender system that takes into account the social network of the user is another way of tackling the problem. The purpose of this project is to use the theory of six degrees of separation (Watts 2003 amongst users of a social network to enhance existing recommender systems.

Medium Theory and Social Systems

DEFF Research Database (Denmark)

Tække, Jesper

  the  possibility  for  observation both of a social micro and a social macro level from a medium perspective. In the next  section  the paper  frames  the macro  level by  a  tentative  synthesis of  the medium  theory  and  the  sociological systems theory briefly describing a socio......-evolutionary process where new media alter  the societal capacity to handle complexity  in  time and space.  In  this section it becomes probable  that  by  means  of  different  media,  social  systems  give  different  possibilities  for  actual  social  performance.  In a way,  social  systems  themselves can be......  seen as medium  for  formation. Finally  the  paper  takes  the micro  level  perspective  by  applying  the  theory  to  newsgroups,  interpreting  them as self-organizing interactive systems giving a differentiated and diversified scope for social  inclusion.  ...

COMPARATIVE MULTIOBJECTIVE ANALYSIS OF COMPLICATED TECHNICAL AND SOCIAL SYSTEMS IN TERMS OF ECONOMICS AND MANAGEMENT

Directory of Open Access Journals (Sweden)

Dmitrii Vital'evich Panov

2016-01-01

Full Text Available The article is devoted to the comparative multiobjective analysis of complicated technical and social systems in terms of economics and management. The difficulty of carrying out such comparison is determined by multidimensionality of the target application, diversity and qualitative variety of separate system elements, dissimilarity of technological conditions, under which they are created, and analogues used for the comparison. It is not about choosing the one “best” solution out of several alternatives, how it is required having the traditional optimization task setting, but about the comparison of home object to its analogues. Usually the purpose of such comparison consists in the assessment of its comparative objective efficiency. However, the object compared is the product of the respective technological chain. The resources used to create the object and analogues compared are always different as well as technologies used to transform resources to end products. It is the reason for the new problem to assess the management quality of own object creation as compared to the analogues. Objectives. The purpose is the development of effective approaches to the management quality assessment of complicated technical and social systems creation. Four multiobjective tasks of integral assessment are considered to solve the stated problem: objective efficiency assessment, assessment of all kinds of resources used, applied technology assessment and finally three-objective task to assess the management quality of object creation with assessed objective efficiency by using stated resources and technologies. The last task implies achievement of the highest objective efficiency with the use of less resource and less sophisticated technology that points at the higher management level. The stated task pertains to the class of multiobjective decision making where alternatives are distinguished by partial criteria and depend on the range of uncertain

Vietnam: expanding the social security system.

Science.gov (United States)

Pruzin, D

1996-01-01

Viet Nam's shift toward a market-oriented economy has been associated with annual gross domestic product growth of more than 8% over the past 5 years. At the same time, the emergence of private-sector enterprises and subsequent closure of many state-run enterprises have had profound implications for Viet Nam's social protection systems. At present, only 5.6 million of the country's 33 million workers are covered under the state-run social insurance system. In 1995, the government moved to include private enterprises with 10 or more employees in its state benefits system. The International Labor Organization (ILO) has been working with the Vietnamese Government to design and implement a social security system that would extend coverage progressively to excluded sectors and provide support to workers who have become unemployed as a result of the economic transition process. At its Eighth National Congress, the Vietnamese Communist Party approved a 5-year social and economic plan calling for such an expansion of the social insurance system as well as for a guaranteed standard of living for pensioners. To facilitate anticipated changes, activities that were previously divided between the Ministry of Labor, Invalids, and Social Affairs and the Vietnam General Confederation of Labor have been assigned to the newly formed Vietnam Social Insurance (VSI) Organization. Under consideration is a plan to combine some VSI activities with those of the Vietnam Health Insurance Organization. The ILO will assist with training, computerization, and social security fund investing. Noncompliance is a major obstacle to planned expansion of the social security system; about 90% of private firms are still not paying into the system.

Social architects in social systems?

DEFF Research Database (Denmark)

Thomsen, Rie; Nordentoft, Helle Merete; Sommerlund, Charlotte

-based knowledge and on building knowledge on equal terms (Härnsten, 1994). The idea is that research circles support knowledge creation as a joint venture where joint venture focuses on both the development of theory and the development of practice (Mørck & Huniche, 2006). Purpose and Design The overall purpose......, conclusions and implications for practice/ future research The findings suggest two major foci of change in future guidance practices. Firstly, future guidance practitioners should be seen more like social architects who are capable of instigating social practices in which young people can exchange...... their experiences, get proper and relevant advice rather than being looked at as expert professionals who provide information in 1-to-1 relationships with the young people. Secondly, the guidance practitioner should be given more credit for and responsibility as a kind of organizational catalyst in social systems...

Social network analysis for startups finding connections on the social web

CERN Document Server

Tsvetovat, Maksim

2011-01-01

Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you''ll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You''ll also learn how to use Python and other open source tools-such as NetworkX, NumPy, and Matplotlib-to gather, analyze, and vis

Comparability of the Social Skills Improvement System to the Social Skills Rating System: A Norwegian Study

Science.gov (United States)

Gamst-Klaussen, Thor; Rasmussen, Lene-Mari P.; Svartdal, Frode; Strømgren, Børge

2016-01-01

The Social Skills Improvement System-Rating Scales (SSIS-RS) is a multi-informant instrument assessing social skills and problem behavior in children and adolescents. It is a revised version of the Social Skills Rating System (SSRS). A Norwegian translation of the SSRS has been validated, but this has not yet been done for the Norwegian…

Emotion Analysis on Social Big Data

Institute of Scientific and Technical Information of China (English)

REN Fuji; Kazuyuki Matsumoto

2017-01-01

In this paper, we describe a method of emotion analysis on social big data. Social big data means text data that is emerging on In-ternet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis. Because these data are constructed by manual annotation, their quality is high but their quantity is low. If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data, we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications, which we could not know before. In this paper, we create an emotion analysis model that integrate the high-quality emotion corpus and the automatic-constructed corpus that we created in our past studies, and then analyze a large-scale corpus consisting of Twitter tweets based on the model. As the result of time-series analysis on the large-scale corpus and the result of model evaluation, we show the effective-ness of our proposed method.

Social Network Analysis of the Caste-Based Reservation System in India

OpenAIRE

Iyengar, S. R. S.; Parasuram, Aishwarya; Saini, Jaspal Singh

2015-01-01

It has been argued that the reservation system in India, which has existed since the time of Indian Independence (1947), has caused more havoc and degradation than progress. This being a popular public opinion, these notions have not been based on any rigorous scientific study or research. In this paper, we revisit the cultural divide among the Indian population from a purely social networks based approach. We study the reservation system in detail, starting from its past and observing its ef...

[Changes in workers' rehabilitation procedures under the Brazilian social security system: modernization or undermining of social protection?].

Science.gov (United States)

Takahashi, Mara Alice Batista Conti; Iguti, Aparecida Mari

2008-11-01

This article describes the changes in workers' rehabilitation practices under the Brazilian National Social Security Institute (INSS) in the 1990s, in the context of neoliberal economic adjustment measures, based on an analysis of INSS documents from 1992 to 1997. The INSS plan for "modernization" of workers' rehabilitation led to: (1) dismantling of multidisciplinary teams; (2) induction of workers to accept proportional retirement pensions and voluntary layoffs; (3) under-utilization of the remaining INSS professional staff; (4) elimination of treatment programs for workers' rehabilitation; and (5) dismantling of INSS rehabilitation centers and clinics. The changes in the Brazilian social security system undermined the county's social security project and hegemony and reduced social security reform to a mere management and fiscal issue. Current "rehabilitation" falls far short of the institution's original purpose of social protection for workers, while aiming at economic regulation of the system to contain costs of workers' benefits. Workers that suffer work-related accidents are denied occupational rehabilitation, which aggravates their social disadvantage when they return to work.

The Financing Mechanism of the Social Health Insurance System in Romania and in other European Countries

Directory of Open Access Journals (Sweden)

Constantin AFANASE

2010-08-01

Full Text Available The social insurance system is part of the social security system and it works based on the payment of a contribution through which risks and services defined by the law are insured. The social security system, independent of the structure or political and economical order of a state, has the attribution of giving help to those in conditions of social helplessness, as well as preventing such circumstances. In this paper we made a comparative analysis of the financing mechanism of the social health insurance system in Romania with other European countries.

THE METHODOLOGY OF THE ANALYSIS OF CASE STUDY THROUGH THE INTEGRATION OF THE ROMA MINORITY INTO THE SOCIAL SYSTEM

Directory of Open Access Journals (Sweden)

Jelena Maksimović

2017-06-01

Full Text Available The Roma are an ethnic group that is spread throughout the world. Although there are poor ethnographic and historical notes about the origin of Roma on the basis of a study of legends and oral traditions, researchers who are engaged in Roma studies, often confirm that they originate from India. Their culture, habits, customs were mostly transmitted through the living word, from generation to generation. This research analyzed case studies of integration of the Roma minority in the social system. Special emphasis in research is aimed at analyzing stereotypes that arise from cultural patterns of Roma, given the fact that for them there are many different prejudices, while on the other hand, there is no access with critical analysis and does not indicate their specialty, which has its downside exactly in culture and patterns of behavior. The study analyzed how the traditional culture is important in the lives of Roma and how the social system treats this ethnic minority. Being a Rom in its original sense means to be human and to be equal with everyone, but paradoxically it is expected that non-Roma nation sets free of stereotypes and prejudices and to contribute to the integration and acceptance of Roma in our social system.

Improving social connection through a communities-of-practice-inspired cognitive work analysis approach.

Science.gov (United States)

Euerby, Adam; Burns, Catherine M

2014-03-01

Increasingly, people work in socially networked environments. With growing adoption of enterprise social network technologies, supporting effective social community is becoming an important factor in organizational success. Relatively few human factors methods have been applied to social connection in communities. Although team methods provide a contribution, they do not suit design for communities. Wenger's community of practice concept, combined with cognitive work analysis, provided one way of designing for community. We used a cognitive work analysis approach modified with principles for supporting communities of practice to generate a new website design. Over several months, the community using the site was studied to examine their degree of social connectedness and communication levels. Social network analysis and communications analysis, conducted at three different intervals, showed increases in connections between people and between people and organizations, as well as increased communication following the launch of the new design. In this work, we suggest that human factors approaches can be effective in social environments, when applied considering social community principles. This work has implications for the development of new human factors methods as well as the design of interfaces for sociotechnical systems that have community building requirements.

Online Social Systems, Social Actions, and Politics: A Narrative Analysis of the Role of Social Media in Revolutionary Political Change

Science.gov (United States)

Maghrabi, Rozan Omar

2017-01-01

One of the demonstrators during the 2011 Egyptian revolution tweeted "We use Facebook to schedule the protests, Twitter to coordinate, and YouTube to tell the world," thus acknowledging and establishing the fundamental role of social media in the political unrest and revolution against the regime in Egypt. Information Systems (IS) have…

The Experience in Personal Social Systems Questionnaire (EXIS.pers): Development and Psychometric Properties.

Science.gov (United States)

Hunger, Christina; Bornhäuser, Annette; Link, Leoni; Geigges, Julian; Voss, Andreas; Weinhold, Jan; Schweitzer, Jochen

2017-03-01

This study presents the theoretical background, development, and psychometric properties of the German and English versions of the Experience in Personal Social Systems Questionnaire (EXIS.pers). It assesses how the members of a personal social system experience their situation within that system. It is designed as a research tool for interventions in which only one member of the system participates (e.g., Family Constellation Seminars). The EXIS.pers was created to measure change on the individual level relating to one's own important personal social system. In Study 1, we used exploratory factor analysis (EFA) for latent variable identification of the original German EXIS.pers (n = 179). In Studies 2 and 3, we used confirmatory factor analysis (CFA) to examine the dimensionality of the German (n = 634) and English (n = 310) EXIS.pers. Internal consistencies and cross-cultural structural equivalence were assessed. EFA indicated that a four-factor model provided best fit for the German EXIS.pers. For both the German and English EXIS.pers, CFA provided the best fit for a five-factor bi-level model that included a general factor (Experience In Personal Social Systems) and four dimensions (Belonging, Autonomy, Accord, Confidence). Good internal consistencies, external associations, and cross-cultural structural equivalence were demonstrated. This study provides first evidence for the German and English EXIS.pers as an economical and reliable measure of an individual's experience within his or her personal social systems. © 2016 Family Process Institute.

Social and Economic Analysis Branch: integrating policy, social, economic, and natural science

Science.gov (United States)

Schuster, Rudy; Walters, Katie D.

2015-01-01

The Fort Collins Science Center's Social and Economic Analysis Branch provides unique capabilities in the U.S. Geological Survey by leading projects that integrate social, behavioral, economic, and natural science in the context of human–natural resource interactions. Our research provides scientific understanding and support for the management and conservation of our natural resources in support of multiple agency missions. We focus on meeting the scientific needs of the Department of the Interior natural resource management bureaus in addition to fostering partnerships with other Federal and State managers to protect, restore, and enhance our environment. The Social and Economic Analysis Branch has an interdisciplinary group of scientists whose primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to support the development of skills in natural resource management activities. Management and research issues associated with human-resource interactions typically occur in a unique context and require knowledge of both natural and social sciences, along with the skill to integrate multiple science disciplines. In response to these challenging contexts, Social and Economic Analysis Branch researchers apply a wide variety of social science concepts and methods which complement our rangeland/agricultural, wildlife, ecology, and biology capabilities. The goal of the Social and Economic Analysis Branch's research is to enhance natural-resource management, agency functions, policies, and decisionmaking.

Cyber-physical-social System in Intelligent Transportation

Institute of Scientific and Technical Information of China (English)

Gang Xiong; Fenghua Zhu; Xiwei Liu; Xisong Dong; Wuling Huang; Songhang Chen; Kai Zhao

2015-01-01

A cyber-physical system(CPS) is composed of a physical system and its corresponding cyber systems that are tightly fused at all scales and levels.CPS is helpful to improve the controllability,efficiency and reliability of a physical system,such as vehicle collision avoidance and zero-net energy buildings systems.It has become a hot R&D and practical area from US to EU and other countries.In fact,most of physical systems and their cyber systems are designed,built and used by human beings in the social and natural environments.So,social systems must be of the same importance as their CPSs.The indivisible cyber,physical and social parts constitute the cyber-physical-social system(CPSS),a typical complex system and it’s a challengeable problem to control and manage it under traditional theories and methods.An artificial systems,computational experiments and parallel execution(ACP) methodology is introduced based on which data-driven models are applied to social system.Artificial systems,i.e.,cyber systems,are applied for the equivalent description of physical-social system(PSS).Computational experiments are applied for control plan validation.And parallel execution finally realizes the stepwise control and management of CPSS.Finally,a CPSS-based intelligent transportation system(ITS) is discussed as a case study,and its architecture,three parts,and application are described in detail.

Toward a Network Perspective of the Study of Resilience in Social-Ecological Systems

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Marco A. Janssen

2006-06-01

Full Text Available Formal models used to study the resilience of social-ecological systems have not explicitly included important structural characteristics of this type of system. In this paper, we propose a network perspective for social-ecological systems that enables us to better focus on the structure of interactions between identifiable components of the system. This network perspective might be useful for developing formal models and comparing case studies of social-ecological systems. Based on an analysis of the case studies in this special issue, we identify three types of social-ecological networks: (1 ecosystems that are connected by people through flows of information or materials, (2 ecosystem networks that are disconnected and fragmented by the actions of people, and (3 artificial ecological networks created by people, such as irrigation systems. Each of these three archytypal social-ecological networks faces different problems that influence its resilience as it responds to the addition or removal of connections that affect its coordination or the diffusion of system attributes such as information or disease.

Composite Socio-Technical Systems: A Method for Social Energy Systems

Energy Technology Data Exchange (ETDEWEB)

Zhang, Yingchen [National Renewable Energy Laboratory (NREL), Golden, CO (United States); He, Fulin [Huazhong University of Science & Technology; Hao, Jun [University of Denver; Dai, Xiaoxiao [University of Denver; Zhang, Jun Jason [University of Denver; Wei, Jiaolong [Huazhong University of Science & Technology

2017-12-01

In order to model and study the interactions between social on technical systems, a systemic method, namely the composite socio-technical systems (CSTS), is proposed to incorporate social systems, technical systems and the interaction mechanism between them. A case study on University of Denver (DU) campus grid is presented in paper to demonstrate the application of the proposed method. In the case study, the social system, technical system, and the interaction mechanism are defined and modelled within the framework of CSTS. Distributed and centralized control and management schemes are investigated, respectively, and numerical results verifies the feasibility and performance of the proposed composite system method.

Theories and simulations of complex social systems

CERN Document Server

Mago, Vijay

2014-01-01

Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers. ...

Behavioural Profiling in Cyber-Social Systems

DEFF Research Database (Denmark)

Perno, Jason; Probst, Christian W.

2017-01-01

Computer systems have evolved from standalone systems, over networked systems, to cyber-physical systems. In all stages, human operators have been essential for the functioning of the system and for understanding system messages. Recent trends make human actors an even more central part of computer...... systems, resulting in what we call "cyber-social systems". In cyber-social systems, human actors and their interaction with a system are essential for the state of the system and its functioning. Both the system's operation and the human's operating it are based on an assumption of each other's behaviour...

The Empathizing-Systemizing Theory, Social Abilities, and Mathematical Achievement in Children.

Science.gov (United States)

Escovar, Emily; Rosenberg-Lee, Miriam; Uddin, Lucina Q; Menon, Vinod

2016-03-14

The Empathizing-Systemizing (E-S) theory describes a profile of traits that have been linked to autism spectrum disorders, and are thought to encompass a continuum that includes typically developing (TD) individuals. Although systemizing is hypothesized to be related to mathematical abilities, empirical support for this relationship is lacking. We examine the link between empathizing and systemizing tendencies and mathematical achievement in 112 TD children (57 girls) to elucidate how socio-cognitive constructs influence early development of mathematical skills. Assessment of mathematical achievement included standardized tests designed to examine calculation skills and conceptual mathematical reasoning. Empathizing and systemizing were assessed using the Combined Empathy Quotient-Child (EQ-C) and Systemizing Quotient-Child (SQ-C). Contrary to our hypothesis, we found that mathematical achievement was not related to systemizing or the discrepancy between systemizing and empathizing. Surprisingly, children with higher empathy demonstrated lower calculation skills. Further analysis using the Social Responsiveness Scale (SRS) revealed that the relationship between EQ-C and mathematical achievement was mediated by social ability rather than autistic behaviors. Finally, social awareness was found to play a differential role in mediating the relationship between EQ-C and mathematical achievement in girls. These results identify empathy, and social skills more generally, as previously unknown predictors of mathematical achievement.

Social Data Analysis Tool

DEFF Research Database (Denmark)

Hussain, Abid; Vatrapu, Ravi; Hardt, Daniel

2014-01-01

, analyze and visualize patterns of web activity. This volume profiles the latest techniques being employed by social scientists to collect and interpret data from some of the most popular social media applications, the political parties' own online activist spaces, and the wider system of hyperlinks...... and analyze web data in the process of investigating substantive questions....

The Application of Social Network Analysis to Team Sports

Science.gov (United States)

Lusher, Dean; Robins, Garry; Kremer, Peter

2010-01-01

This article reviews how current social network analysis might be used to investigate individual and group behavior in sporting teams. Social network analysis methods permit researchers to explore social relations between team members and their individual-level qualities simultaneously. As such, social network analysis can be seen as augmenting…

Social-ecological resilience and geomorphic systems

Science.gov (United States)

Chaffin, Brian C.; Scown, Murray

2018-03-01

Governance of coupled social-ecological systems (SESs) and the underlying geomorphic processes that structure and alter Earth's surface is a key challenge for global sustainability amid the increasing uncertainty and change that defines the Anthropocene. Social-ecological resilience as a concept of scientific inquiry has contributed to new understandings of the dynamics of change in SESs, increasing our ability to contextualize and implement governance in these systems. Often, however, the importance of geomorphic change and geomorphological knowledge is somewhat missing from processes employed to inform SES governance. In this contribution, we argue that geomorphology and social-ecological resilience research should be integrated to improve governance toward sustainability. We first provide definitions of engineering, ecological, community, and social-ecological resilience and then explore the use of these concepts within and alongside geomorphology in the literature. While ecological studies often consider geomorphology as an important factor influencing the resilience of ecosystems and geomorphological studies often consider the engineering resilience of geomorphic systems of interest, very few studies define and employ a social-ecological resilience framing and explicitly link the concept to geomorphic systems. We present five key concepts-scale, feedbacks, state or regime, thresholds and regime shifts, and humans as part of the system-which we believe can help explicitly link important aspects of social-ecological resilience inquiry and geomorphological inquiry in order to strengthen the impact of both lines of research. Finally, we discuss how these five concepts might be used to integrate social-ecological resilience and geomorphology to better understand change in, and inform governance of, SESs. To compound these dynamics of resilience, complex systems are nested and cross-scale interactions from smaller and larger scales relative to the system of interest

The Institutional System of Economic Agents’ Social Responsibility

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Frolova Elena, A.

2015-12-01

Full Text Available In this paper it was made an attempt to analyse the main characteristics of the institutional system of economic agents social responsibility. The institutional system can be described as a complex of norms, rules, regulations and enforcement mechanisms in the context of interactions and communications of economic agents. The institutional nature of social responsibility allow to solve social dilemmas through the internalization of social responsibility norms and creating social value orientations, which are determine the prosocial behaviour of economic agents. The institutional system of social responsibility was described from the methodological institutionalism point of view. Analysing this phenomenon we are required to develop research on the objects of this system (norms, regulations, behaviour, on the subjects of this system (persons, business, government and on the institutional mechanisms (internalization of social responsibility norms, promoting prosocial behaviour, adaptation and transformation of the social responsibility norms aimed to ensure the understanding of origin and significance of social responsibility for modern society.

Advances in social media analysis

CERN Document Server

Cocea, Mihaela; Wiratunga, Nirmalie; Goker, Ayse

2015-01-01

This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book. The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website. The book will be useful to research students, academics and practitioners in the area of social media analysis.  .

A planetary nervous system for social mining and collective awareness

Science.gov (United States)

Giannotti, F.; Pedreschi, D.; Pentland, A.; Lukowicz, P.; Kossmann, D.; Crowley, J.; Helbing, D.

2012-11-01

We present a research roadmap of a Planetary Nervous System (PNS), capable of sensing and mining the digital breadcrumbs of human activities and unveiling the knowledge hidden in the big data for addressing the big questions about social complexity. We envision the PNS as a globally distributed, self-organizing, techno-social system for answering analytical questions about the status of world-wide society, based on three pillars: social sensing, social mining and the idea of trust networks and privacy-aware social mining. We discuss the ingredients of a science and a technology necessary to build the PNS upon the three mentioned pillars, beyond the limitations of their respective state-of-art. Social sensing is aimed at developing better methods for harvesting the big data from the techno-social ecosystem and make them available for mining, learning and analysis at a properly high abstraction level. Social mining is the problem of discovering patterns and models of human behaviour from the sensed data across the various social dimensions by data mining, machine learning and social network analysis. Trusted networks and privacy-aware social mining is aimed at creating a new deal around the questions of privacy and data ownership empowering individual persons with full awareness and control on own personal data, so that users may allow access and use of their data for their own good and the common good. The PNS will provide a goal-oriented knowledge discovery framework, made of technology and people, able to configure itself to the aim of answering questions about the pulse of global society. Given an analytical request, the PNS activates a process composed by a variety of interconnected tasks exploiting the social sensing and mining methods within the transparent ecosystem provided by the trusted network. The PNS we foresee is the key tool for individual and collective awareness for the knowledge society. We need such a tool for everyone to become fully aware of how

A Study of the Social Effects in a Comparative Assessment among the Electricity Generating Systems

International Nuclear Information System (INIS)

Kim, Kil Yoo; Kim, Tae Woon

2007-01-01

A comparative assessment among 7 electricity generating systems by considering their environmental impacts, risks, health effects, and social effects was studied last year. The compared electricity generating systems are nuclear, coal, LNG, hydro, oil, wind, photovoltaic (=solar) ones. In last year's work, the social effects were handled by a public acceptance based on an aversion. However, in this paper, the social effects were also studied by a preference in view of the 'willingness to pay' (WTP). With the new social effects study, a comparative analysis of the 7 electricity generation systems was performed in this paper

Reflections of the social environment in chimpanzee memory: applying rational analysis beyond humans.

Science.gov (United States)

Stevens, Jeffrey R; Marewski, Julian N; Schooler, Lael J; Gilby, Ian C

2016-08-01

In cognitive science, the rational analysis framework allows modelling of how physical and social environments impose information-processing demands onto cognitive systems. In humans, for example, past social contact among individuals predicts their future contact with linear and power functions. These features of the human environment constrain the optimal way to remember information and probably shape how memory records are retained and retrieved. We offer a primer on how biologists can apply rational analysis to study animal behaviour. Using chimpanzees ( Pan troglodytes ) as a case study, we modelled 19 years of observational data on their social contact patterns. Much like humans, the frequency of past encounters in chimpanzees linearly predicted future encounters, and the recency of past encounters predicted future encounters with a power function. Consistent with the rational analyses carried out for human memory, these findings suggest that chimpanzee memory performance should reflect those environmental regularities. In re-analysing existing chimpanzee memory data, we found that chimpanzee memory patterns mirrored their social contact patterns. Our findings hint that human and chimpanzee memory systems may have evolved to solve similar information-processing problems. Overall, rational analysis offers novel theoretical and methodological avenues for the comparative study of cognition.

Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research

Science.gov (United States)

Grunspan, Daniel Z.; Wiggins, Benjamin L.; Goodreau, Steven M.

2014-01-01

Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA)…

A novel system for tracking social preference dynamics in mice reveals sex- and strain-specific characteristics.

Science.gov (United States)

Netser, Shai; Haskal, Shani; Magalnik, Hen; Wagner, Shlomo

2017-01-01

Deciphering the biological mechanisms underlying social behavior in animal models requires standard behavioral paradigms that can be unbiasedly employed in an observer- and laboratory-independent manner. During the past decade, the three-chamber test has become such a standard paradigm used to evaluate social preference (sociability) and social novelty preference in mice. This test suffers from several caveats, including its reliance on spatial navigation skills and negligence of behavioral dynamics. Here, we present a novel experimental apparatus and an automated analysis system which offer an alternative to the three-chamber test while solving the aforementioned caveats. The custom-made apparatus is simple for production, and the analysis system is publically available as an open-source software, enabling its free use. We used this system to compare the dynamics of social behavior during the social preference and social novelty preference tests between male and female C57BL/6J mice. We found that in both tests, male mice keep their preference towards one of the stimuli for longer periods than females. We then employed our system to define several new parameters of social behavioral dynamics in mice and revealed that social preference behavior is segregated in time into two distinct phases. An early exploration phase, characterized by high rate of transitions between stimuli and short bouts of stimulus investigation, is followed by an interaction phase with low transition rate and prolonged interactions, mainly with the preferred stimulus. Finally, we compared the dynamics of social behavior between C57BL/6J and BTBR male mice, the latter of which are considered as asocial strain serving as a model for autism spectrum disorder. We found that BTBR mice ( n  = 8) showed a specific deficit in transition from the exploration phase to the interaction phase in the social preference test, suggesting a reduced tendency towards social interaction. We successfully

A Social Accountable Model for Medical Education System in Iran: A Grounded-Theory

Directory of Open Access Journals (Sweden)

Mohammadreza Abdolmaleki

2017-10-01

Full Text Available Social accountability has been increasingly discussed over the past three decades in various fields providing service to the community and has been expressed as a goal for various areas. In medical education system, like other social accountability areas, it is considered as one of the main objectives globally. The aim of this study was to seek a social accountability theory in the medical education system that is capable of identifying all the standards, norms, and conditions within the country related to the study subject and recognize their relationship. In this study, a total of eight experts in the field of social accountability in medical education system with executive or study experience were interviewedpersonally. After analysis of interviews, 379 codes, 59 secondary categories, 16 subcategories, and 9 main categories were obtained. The resulting data was collected and analyzed at three levels of open coding, axial coding, and selective coding in the form of grounded theory study of “Accountability model of medical education in Iran”, which can be used in education system’s policies and planning for social accountability, given that almost all effective components of social accountability in highereducation health system with causal and facilitator associations were determined.Keywords: SOCIAL ACCOUNTABILITY, COMMUNITY–ORIENTED MEDICINE, COMMUNITY MEDICINE, EDUCATION SYSTEM, GROUNDED THEORY

Social network analysis community detection and evolution

CERN Document Server

Missaoui, Rokia

2015-01-01

This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edit

Automatic visual tracking and social behaviour analysis with multiple mice.

Directory of Open Access Journals (Sweden)

Luca Giancardo

Full Text Available Social interactions are made of complex behavioural actions that might be found in all mammalians, including humans and rodents. Recently, mouse models are increasingly being used in preclinical research to understand the biological basis of social-related pathologies or abnormalities. However, reliable and flexible automatic systems able to precisely quantify social behavioural interactions of multiple mice are still missing. Here, we present a system built on two components. A module able to accurately track the position of multiple interacting mice from videos, regardless of their fur colour or light settings, and a module that automatically characterise social and non-social behaviours. The behavioural analysis is obtained by deriving a new set of specialised spatio-temporal features from the tracker output. These features are further employed by a learning-by-example classifier, which predicts for each frame and for each mouse in the cage one of the behaviours learnt from the examples given by the experimenters. The system is validated on an extensive set of experimental trials involving multiple mice in an open arena. In a first evaluation we compare the classifier output with the independent evaluation of two human graders, obtaining comparable results. Then, we show the applicability of our technique to multiple mice settings, using up to four interacting mice. The system is also compared with a solution recently proposed in the literature that, similarly to us, addresses the problem with a learning-by-examples approach. Finally, we further validated our automatic system to differentiate between C57B/6J (a commonly used reference inbred strain and BTBR T+tf/J (a mouse model for autism spectrum disorders. Overall, these data demonstrate the validity and effectiveness of this new machine learning system in the detection of social and non-social behaviours in multiple (>2 interacting mice, and its versatility to deal with different

Knowledge Management System in Health & Social Care: Review on 20 Practiced Knowledge Management

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Muhammad Saiful Ridhwan

2014-02-01

Full Text Available The importance of managing medical information has become very critical in the healthcare delivery system. Medical information nowadays are optimized towards serving different areas such as; diagnosing of diseases, planning and administration, treatment and monitoring of patient outcomes, services and costs. This article provides a review into various Health and Social Care systems which encompasses the Knowledge Management value. For analysis, more than 30 systems that are related to Health and Social Care were gathered via Internet research, only 20 of these systems were finally selected based on recent system development and popularity of the system.Keywords: Health Care, Knowledge, Knowledge Management, Social Care, systemdoi:10.12695/ajtm.2013.6.2.4 How to cite this article:Ridhwan, M.S., and Oyefolahan, I.O. (2013. Knowledge Management System in Health & Social Care: Review on 20 Practiced Knowledge Management. The Asian Journal of Technology Management 6 (2: 92-101. Print ISSN: 1978-6956; Online ISSN: 2089-791X. doi:10.12695/ajtm.2013.6.2.4

Assessing Anti-American Sentiment Through Social Media Analysis

Science.gov (United States)

2016-12-01

165 Yuri Kageyama, “Twitter Takes Off in Japan – Social Network Changes Nation’s Internet Culture,” Journal - Gazette, July 4, 2010, http...military shows of force in and around Japan . 14. SUBJECT TERMS anti-Americanism, Twitter, social media analysis; drone strike; Pakistan, UAV...hypothesizes that social media analysis, specifically analysis of messages sent through the Twitter network , can be used to gauge the overall

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis

OpenAIRE

Liang, Yunji; Zheng, Xiaolong; Zeng, Daniel Dajun; Zhou, Xingshe; Leischow, Scott James; Chung, Wingyan

2015-01-01

Social media is becoming a new battlefield for tobacco ?wars?. Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches. Our empirical studies demonstrate that the exploding pro-tobacco content has long-lasting effects with more active users a...

Formal modelling and analysis of socio-technical systems

DEFF Research Database (Denmark)

Probst, Christian W.; Kammüller, Florian; Hansen, Rene Rydhof

2016-01-01

systems are still mostly identified through brainstorming of experts. In this work we discuss several approaches to formalising socio-technical systems and their analysis. Starting from a flow logic-based analysis of the insider threat, we discuss how to include the socio aspects explicitly, and show......Attacks on systems and organisations increasingly exploit human actors, for example through social engineering. This non-technical aspect of attacks complicates their formal treatment and automatic identification. Formalisation of human behaviour is difficult at best, and attacks on socio-technical...... a formalisation that proves properties of this formalisation. On the formal side, our work closes the gap between formal and informal approaches to socio-technical systems. On the informal side, we show how to steal a birthday cake from a bakery by social engineering....

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

THE USES OF HUMOR IN SOCIAL WORK PRACTICE: ANALYSIS OF SOCIAL WORKERS’ EXPERIENCE

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Gabrielė Vaitulionytė

2016-12-01

Full Text Available The article discusses how humor could enrich social work practice and guideline social workers. Social work field is not that traditionally relates with humor. While social work scholars argue that social work field is full of contradictions and humor is relevant tool to express those contradictions and paradoxes. In micro level practice Gitterman (2003 suggests humor could be a creative tool that “must be used differently based on client background, level of functioning, and specific situation”. Article presents results of qualitative study. The analysis of social workers’ professional experiences is based on social constructionism perspective with the aim to explain how humor is used in everyday practice and how use of purposive humor could be helpful in social work intervention. Episodic interviews with six social workers working in intercultural social work field were conducted. Transcripts of interviews were analyzed through conceptualization, developing story and maximizing aims of the study. Anonymity and confidentiality was considered. The results of analysis demonstrate that humor is unique experience in the sociocultural context. Discursive categories explain the purpose of humor for practice, circumstances and conditions for using that determine how the use of humor could contribute to the success of a social worker-client interaction. Using humor is considered as professional competence, which suggests that “having a good sense of humor” and appropriate use of humor with ability to demonstrate empathy and honesty in social worker-client interaction is an important part of social worker competence. Humor as a professional competence contained understanding of the humorous taboo. During analysis were explored how using humor and cultural stories of clients create mezzo level strategies for professional social work practice. Keywords: humor in social work practice, social work process, humor taboo.

How can social network analysis contribute to social behavior research in applied ethology?

Science.gov (United States)

Makagon, Maja M; McCowan, Brenda; Mench, Joy A

2012-05-01

Social network analysis is increasingly used by behavioral ecologists and primatologists to describe the patterns and quality of interactions among individuals. We provide an overview of this methodology, with examples illustrating how it can be used to study social behavior in applied contexts. Like most kinds of social interaction analyses, social network analysis provides information about direct relationships (e.g. dominant-subordinate relationships). However, it also generates a more global model of social organization that determines how individual patterns of social interaction relate to individual and group characteristics. A particular strength of this approach is that it provides standardized mathematical methods for calculating metrics of sociality across levels of social organization, from the population and group levels to the individual level. At the group level these metrics can be used to track changes in social network structures over time, evaluate the effect of the environment on social network structure, or compare social structures across groups, populations or species. At the individual level, the metrics allow quantification of the heterogeneity of social experience within groups and identification of individuals who may play especially important roles in maintaining social stability or information flow throughout the network.

Columbia River System Operation Review : Final Environmental Impact Statement, Appendix O: Economic and Social Impact.

Energy Technology Data Exchange (ETDEWEB)

Columbia River System Operation Review (U.S.)

1995-11-01

This Appendix O of the Final Environmental Impact Statement for the Columbia River System measures the economic and social effects of the alternative system operation strategies and includes both geographic and methodology components. Areas discussed in detail include the following: purpose, scope and process; an economic history of the Columbia River Basin and its use today including the Columbia River and Socio-economic development in the Northwest and Major uses of the River System; Analysis procedures and methodologies including national economic evaluation, the concepts, analysis of assumptions, analysis for specific river uses, water quality, Regional evaluation, analysis, and social impacts; alternatives and impacts including implementation costs, andromous fish, resident fish and wildlife, flood control, irrigation and municipal and industrial water supply, navigation impacts, power, recreation, annual costs, regional economic analysis. Extensive comparison of alternatives is included.

Columbia River system operation review: Final environmental impact statement. Appendix O, economic and social impact

International Nuclear Information System (INIS)

1995-11-01

This Appendix O of the Final Environmental Impact Statement for the Columbia River System measures the economic and social effects of the alternative system operation strategies and includes both geographic and methodology components. Areas discussed in detail include the following: purpose, scope and process; an economic history of the Columbia River Basin and its use today including the Columbia River and Socio-economic development in the Northwest and Major uses of the River System; Analysis procedures and methodologies including national economic evaluation, the concepts, analysis of assumptions, analysis for specific river uses, water quality, Regional evaluation, analysis, and social impacts; alternatives and impacts including implementation costs, andromous fish, resident fish and wildlife, flood control, irrigation and municipal and industrial water supply, navigation impacts, power, recreation, annual costs, regional economic analysis. Extensive comparison of alternatives is included

The Social System Approach to Institutions: Examples from Western Economic History

Directory of Open Access Journals (Sweden)

Solomon I. Cohen

2016-09-01

Full Text Available While there is a general acceptance of a broad definition of social institutions as accepted rules of conduct in agent interactions, there are overlapping views on how institutions come into being and develop. Different views see institutions as the result of evolution, contract, convention, game theory, political power, or legal necessity. Once created, institutions can live their own life and gain influence on the whole economy/society in respects beyond their intrinsic origins. The overlapping views give the impression of pursued piecemeal approaches in addressing the issues. Treating issues of institutional formation and development in the framework of social system theory and analysis can be shown to simplify the picture appreciably and bring more insight. This paper intends to do that. It will display and apply the social system perspective to understanding institutional formation and development. The paper falls in two sections. First, it develops an analytical framework that views the economy as a social system with interactive subsystems that initiate and maintain their own subsystem institutions. Some subsystems expand faster than others, gaining more influence. Interaction of agents across subsystems facilitates the dominance of the more influential subsystem and the spread of the subsystem’s allied institutions to the whole social system. Second, the paper illustrates the validity of the social system perspective via reviewing a timeline that highlights the changing and evolving dominance of the major subsystems and their attached institutions in the economic history of the western world, and in particular, the interactions between the firm subsystem and the state subsystem.

Fit in the Body: Matching Embodied Cognition with Social-Ecological Systems

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Janne I. Hukkinen

2012-12-01

Full Text Available Analysis of fit has focused on the macrolevel fit between social institutions and ecosystems, and bypassed the microlevel fit between individual cognition and its socio-material environment. I argue that the conceptualizations we develop about social-ecological systems and our position in them should be understood as ways for a fundamentally cognitive organism to adapt to particular social and ecological situations. Since at issue is our survival as a species, we need to better understand the structure and dynamics of fit between human cognition and its social-ecological environment. I suggest that the embodied cognition perspective opens up possibilities for "nudging" evolution through the conceptual integration of the cognitively attractive but ecologically unrealistic neoclassical economics, and the cognitively less attractive but ecologically more realistic adaptive cycle theory (panarchy. The result is a conceptually integrated model, the Roller Coaster Blend, which expresses in metaphorical terms why competitive individuals are better off cooperating than competing with each other in the face of absolute resource limits. The blend enables the reframing of messages about the limits of the social-ecological system in terms of growth rather than degrowth. This is cognitively appealing, as upward growth fires in our minds the neural connections of "more," "control", and "happy." The blend's potential for nudging behavior arises from its autopoietic characteristic: it can be both an account of the social-ecological system as an emergent structure that is capable of renewing itself, and a cognitive attractor of individuals whose recruitment reinforces the integrity of the social-ecological system.

SOCIAL AUDIT OF THE MUNICIPAL SYSTEM OF GENERAL EDUCATION

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T. I. Zerchaninova

2013-01-01

Full Text Available The paper deals with the theory and practice of social audit of the municipal system of general education. The authors have developed a conceptual model of social audit to accurately identify both the short- and long-term development prospects of the given system. The paper describes the social audit procedures in Berezovsky municipal district of Sverdlovsk region including four stages: the content analysis of municipal documents concerning the development strategy of the general education system, diagnosis of the current conditions and problems, effectiveness evaluation of the municipal system of general education, and practical  recommendations for improving the education quality. The above mentioned audit demonstrates that the indices of education development are unsystematically tracked, obstructing therefore the adjustment process. To solve the given problems the following measures are recommended: personnel policy development, creating the regional managerial reserve and organizing management workshops, informing the teachers about the modern educational tools, and updating the municipal program of the «Educational System Development of Berezovsky Municipal District for 20011–20015». However, the above suggestions target only the current problems disregarding the challenges of tomorrow which require the advancing strategy. In authors’ opinion, the main emphasis should be re-placed on the quality improvement of the municipal educational services instead of the infrastructure reinforcement. 

SOCIAL AUDIT OF THE MUNICIPAL SYSTEM OF GENERAL EDUCATION

Directory of Open Access Journals (Sweden)

T. I. Zerchaninova

2015-03-01

Full Text Available The paper deals with the theory and practice of social audit of the municipal system of general education. The authors have developed a conceptual model of social audit to accurately identify both the short- and long-term development prospects of the given system. The paper describes the social audit procedures in Berezovsky municipal district of Sverdlovsk region including four stages: the content analysis of municipal documents concerning the development strategy of the general education system, diagnosis of the current conditions and problems, effectiveness evaluation of the municipal system of general education, and practical  recommendations for improving the education quality. The above mentioned audit demonstrates that the indices of education development are unsystematically tracked, obstructing therefore the adjustment process. To solve the given problems the following measures are recommended: personnel policy development, creating the regional managerial reserve and organizing management workshops, informing the teachers about the modern educational tools, and updating the municipal program of the «Educational System Development of Berezovsky Municipal District for 20011–20015». However, the above suggestions target only the current problems disregarding the challenges of tomorrow which require the advancing strategy. In authors’ opinion, the main emphasis should be re-placed on the quality improvement of the municipal educational services instead of the infrastructure reinforcement. 

Social network analysis: Presenting an underused method for nursing research.

Science.gov (United States)

Parnell, James Michael; Robinson, Jennifer C

2018-06-01

This paper introduces social network analysis as a versatile method with many applications in nursing research. Social networks have been studied for years in many social science fields. The methods continue to advance but remain unknown to most nursing scholars. Discussion paper. English language and interpreted literature was searched from Ovid Healthstar, CINAHL, PubMed Central, Scopus and hard copy texts from 1965 - 2017. Social network analysis first emerged in nursing literature in 1995 and appears minimally through present day. To convey the versatility and applicability of social network analysis in nursing, hypothetical scenarios are presented. The scenarios are illustrative of three approaches to social network analysis and include key elements of social network research design. The methods of social network analysis are underused in nursing research, primarily because they are unknown to most scholars. However, there is methodological flexibility and epistemological versatility capable of supporting quantitative and qualitative research. The analytic techniques of social network analysis can add new insight into many areas of nursing inquiry, especially those influenced by cultural norms. Furthermore, visualization techniques associated with social network analysis can be used to generate new hypotheses. Social network analysis can potentially uncover findings not accessible through methods commonly used in nursing research. Social networks can be analysed based on individual-level attributes, whole networks and subgroups within networks. Computations derived from social network analysis may stand alone to answer a research question or incorporated as variables into robust statistical models. © 2018 John Wiley & Sons Ltd.

Background of the system analysis of crime prevention of properties of criminality

Directory of Open Access Journals (Sweden)

Валерій Федорович Оболенцев

2016-01-01

Full Text Available Raising of problem. Socio-economic processes in Ukraine in the last years require scientific researches which would become the proper theoretical subsoil of reformation of the law-enforcement system. Actuality of theme. Consider perspective a system method in researches of criminology. The analysis of the systems of law-enforcement sphere to this time remains actually not developed. An analysis of the last publications is in this sphere. Researches, where on principles of system method prevention of criminality would be examined, in domestic criminology relatively a bit. O. E. Manokha in dissertation in criminology did an author expound the analysis of «Systems results it system criminology to the analysis in number high-quality indexes of criminality in Ukraine for period 1972 - 1995 y., showed the system of its connections with practice of prevention of crimes. O. Frolova. on principles of the systems exposed practice of criminal punishments in Ukraine. Author  specified that efficiency them separate kinds are not identical and system depends on many social factors. Purpose of the article. The аim of article is to presents the results of a systematic analysis of the formal procedures prevent crime in Ukraine. Exposition of basic material. The purpose of crime prevention as an artificial system is defined as the absence of crime - penal violations of existing social relations, preservation of the latter. Purpose of the system of crime prevention - keeping people from violating the legitimate social relations, blockades or start a potential criminal activity. For a system of crime prevention functions can be considered a means of keeping the population from criminal acts and termination initiated criminal attacks. The problem of crime prevention system - inconsistency functions, parameters and structure of the system to its destination. Context of the system of crime prevention - a modern Ukrainian society. Virtual border crime prevention

A model for a drug distribution system in remote Australia as a social determinant of health using event structure analysis.

Science.gov (United States)

Rovers, John P; Mages, Michelle D

2017-09-25

The social determinants of health include the health systems under which people live and utilize health services. One social determinant, for which pharmacists are responsible, is designing drug distribution systems that ensure patients have safe and convenient access to medications. This is critical for settings with poor access to health care. Rural and remote Australia is one example of a setting where the pharmacy profession, schools of pharmacy, and regulatory agencies require pharmacists to assure medication access. Studies of drug distribution systems in such settings are uncommon. This study describes a model for a drug distribution system in an Aboriginal Health Service in remote Australia. The results may be useful for policy setting, pharmacy system design, health professions education, benchmarking, or quality assurance efforts for health system managers in similarly remote locations. The results also suggest that pharmacists can promote access to medications as a social determinant of health. The primary objective of this study was to propose a model for a drug procurement, storage, and distribution system in a remote region of Australia. The secondary objective was to learn the opinions and experiences of healthcare workers under the model. Qualitative research methods were used. Semi-structured interviews were performed with a convenience sample of 11 individuals employed by an Aboriginal health service. Transcripts were analyzed using Event Structure Analysis (ESA) to develop the model. Transcripts were also analyzed to determine the opinions and experiences of health care workers. The model was comprised of 24 unique steps with seven distinct components: choosing a supplier; creating a list of preferred medications; budgeting and ordering; supply and shipping; receipt and storage in the clinic; prescribing process; dispensing and patient counseling. Interviewees described opportunities for quality improvement in choosing suppliers, legal issues and

StOCNET : Software for the statistical analysis of social networks

NARCIS (Netherlands)

Huisman, M.; van Duijn, M.A.J.

2003-01-01

StOCNET3 is an open software system in a Windows environment for the advanced statistical analysis of social networks. It provides a platform to make a number of recently developed and therefore not (yet) standard statistical methods available to a wider audience. A flexible user interface utilizing

COMPARATIVE ANALYSIS OF ECONOMIC AND SOCIAL EFFICIENCY. CUSTOMIZE ON HEALTHCARE SECTOR

OpenAIRE

CLAUDIU CICEA

2011-01-01

Efficiency in health service sector is very important because the health sector is a major consumer of resources (especially financial). In this paper the author aims to analyze the efficiency in a social sector (healthcare system) based on cost-benefit analysis.

Conceptual analysis of social responsibility of the person and its integration in pharmaceutical practice

Directory of Open Access Journals (Sweden)

N. O. Tkachenko

2017-12-01

Full Text Available The modern development of the social policy of pharmaceutical organizations in Ukraine, focused on the needs of society, is characterized by the lag in practical implementation of appropriate social responsibility (SR from the increased interest of pharmaceutical scientists in its various aspects. Issues of personal identity, its role and place in the system of socially responsible behavior of pharmaceutical organizations and the professional activity of pharmacists remain insufficiently studied. The purpose research. Conceptual analysis of the social responsibility of the individual with the integration into pharmacy and the rationale for strategic directions for the formation of social responsibility as a professional competence of pharmacists in the system of continuous pharmaceutical education. Materials and methods. We used the methods of information retrieval, comparison, systematization, analysis, synthesis and modeling. Materials for research were publications of fundamental and applied research of domestic and foreign scientists on issues of social responsibility, international standards. Results. Personality in the process of activity is both the subject and the object of responsibility, since social responsibility is a condition for interaction between the individual and the society. The social responsibility of pharmacy specialists directed to primary and secondary social groups, society and the individual, as well as to oneself. In the latter case, the self-concept is important, that is, the individual's complete self-image and the readiness of the individual to act in a certain way in certain situations, as well as the possible social roles of the pharmacist. The process of forming the social responsibility of pharmacy specialists is a complex level system that continuously educates, develops and improves the skill of social responsibility throughout professional life. Conclusions. On the basis of theoretical generalization of the

Mirror Neuron System and Mentalizing System connect during online social interaction.

Science.gov (United States)

Sperduti, Marco; Guionnet, Sophie; Fossati, Philippe; Nadel, Jacqueline

2014-08-01

Two sets of brain areas are repeatedly reported in neuroimaging studies on social cognition: the Mirror Neuron System and the Mentalizing System. The Mirror System is involved in goal understanding and has been associated with several emotional and cognitive functions central to social interaction, ranging from empathy to gestural communication and imitation. The Mentalizing System is recruited in tasks requiring cognitive processes such as self-reference and understanding of other's intentions. Although theoretical accounts for an interaction between the two systems have been proposed, little is known about their synergy during social exchanges. In order to explore this question, we have recorded brain activity by means of functional MRI during live social exchanges based on reciprocal imitation of hand gestures. Here, we investigate, using the method of psychophysiological interaction, the changes in functional connectivity of the Mirror System due to the conditions of interest (being imitated, imitating) compared with passive observation of hand gestures. We report a strong coupling between the Mirror System and the Mentalizing System during the imitative exchanges. Our findings suggest a complementary role of the two networks during social encounters. The Mirror System would engage in the preparation of own actions and the simulation of other's actions, while the Mentalizing System would engage in the anticipation of the other's intention and thus would participate to the co-regulation of reciprocal actions. Beyond a specific effect of imitation, the design used offers the opportunity to tackle the role of role-switching in an interpersonal account of social cognition.

Local perceptions on social-ecological dynamics in Latin America in three community-based natural resource management systems

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Maria del Mar Delgado-Serrano

2015-12-01

Full Text Available Several examples of community-based natural resource management in Latin American social-ecological systems exist in which communities control the management of common-pool resources. Understanding community perceptions of the performance of these systems is essential to involve communities in sustainable management strategies. In this analysis of three areas in Colombia, Mexico, and Argentina, we analyzed the local perceptions of the social and environmental challenges faced by these social-ecological systems and how these challenges and drivers affect their resilience. To do this, we combined prospective structural analysis to unravel stakeholders' perceptions of each system's functioning along with network analysis to assess resilience. We identified external variables as the most influential variables in the Colombian and Argentine cases. In the Mexican case, larger influence is exerted by internal variables, particularly those linked to the governance system. The case study analysis revealed that the community-based natural resource management approach needs external support and recognition to work effectively. In the Argentine and Colombian cases, megaprojects were perceived as controllers with medium or strong influence but low dependence. The use of ancestral knowledge (Colombia, the history of land use (Mexico, and the history of the artisanal fishery (Argentina were all perceived as common challenges to community-based natural resource management. In terms of social-ecological resilience, framed within the three-dimensional model of the adaptive cycle, all three social-ecological systems were considered to be highly connected and resilient but with different degrees of capacity or cumulative potential.

Economic Analysis of Social Common Capital

Science.gov (United States)

Uzawa, Hirofumi

2005-06-01

Social common capital provides members of society with those services and institutional arrangements that are crucial in maintaining human and cultural life. The term æsocial common capital' is comprised of three categories: natural capital, social infrastructure, and institutional capital. Natural capital consists of all natural environment and natural resources including the earth's atmosphere. Social infrastructure consists of roads, bridges, public transportation systems, electricity, and other public utilities. Institutional capital includes hospitals, educational institutions, judicial and police systems, public administrative services, financial and monetary institutions, and cultural capital. This book attempts to modify and extend the theoretical premises of orthodox economic theory to make them broad enough to analyze the economic implications of social common capital. It further aims to find the institutional arrangements and policy measures that will bring about the optimal state of affairs.

Content relatedness in the social web based on social explicit semantic analysis

Science.gov (United States)

Ntalianis, Klimis; Otterbacher, Jahna; Mastorakis, Nikolaos

2017-06-01

In this paper a novel content relatedness algorithm for social media content is proposed, based on the Explicit Semantic Analysis (ESA) technique. The proposed scheme takes into consideration social interactions. In particular starting from the vector space representation model, similarity is expressed by a summation of term weight products. In this paper, term weights are estimated by a social computing method, where the strength of each term is calculated by the attention the terms receives. For this reason each post is split into two parts, title and comments area, while attention is defined by the number of social interactions such as likes and shares. The overall approach is named Social Explicit Semantic Analysis. Experimental results on real data show the advantages and limitations of the proposed approach, while an initial comparison between ESA and S-ESA is very promising.

Concept Of The Legal System Analysis

Directory of Open Access Journals (Sweden)

Petr E. Zhigockiy

2015-03-01

Full Text Available In the present article an attempt to provide a theoretical analysis of the legal system, and to consider the law as one of the most complicated social phenomena was made. Author notes, that the contradictions prevailing in public practice are unpredictable. Doctrines of law are varied in their approaches, scores and results, but based on a common foundation: the law for people always acted as a certain order in a society, where the differences begin. Author draws attention to the fact, that the state and the law ensure the order in society by removing contradictions and achieving social compromises. The legal reality is divided into certain groups of legal systems, there is a classification. If we are relying on the identification of groups of the same order, there is the theoretical generality as the level of the theory of law on the legal systems basis. Analysis of the political and legal systems will draw attention to the democratic and totalitarian regimes. Totalitarian regimes are characterized by law as means of violence, the means of coercion and suppression. The majority of democratic regimes are characterized by the use of law as a means of social harmony and social compromise. In conclusion, author underlines, that the theory of law can be made not only at the level of each country. This level is a necessary basis for the theory, but not its completion. Based on the individual characteristics of each country's law, that is descended from the general and particular to an individual, the theory can and should continue to make the way back from the individual to the particular and the general.

Emergence of scale-free leadership structure in social recommender systems.

Science.gov (United States)

Zhou, Tao; Medo, Matúš; Cimini, Giulio; Zhang, Zi-Ke; Zhang, Yi-Cheng

2011-01-01

The study of the organization of social networks is important for the understanding of opinion formation, rumor spreading, and the emergence of trends and fashion. This paper reports empirical analysis of networks extracted from four leading sites with social functionality (Delicious, Flickr, Twitter and YouTube) and shows that they all display a scale-free leadership structure. To reproduce this feature, we propose an adaptive network model driven by social recommending. Artificial agent-based simulations of this model highlight a "good get richer" mechanism where users with broad interests and good judgments are likely to become popular leaders for the others. Simulations also indicate that the studied social recommendation mechanism can gradually improve the user experience by adapting to tastes of its users. Finally we outline implications for real online resource-sharing systems.

Reflections of the social environment in chimpanzee memory: applying rational analysis beyond humans

Science.gov (United States)

Marewski, Julian N.; Schooler, Lael J.; Gilby, Ian C.

2016-01-01

In cognitive science, the rational analysis framework allows modelling of how physical and social environments impose information-processing demands onto cognitive systems. In humans, for example, past social contact among individuals predicts their future contact with linear and power functions. These features of the human environment constrain the optimal way to remember information and probably shape how memory records are retained and retrieved. We offer a primer on how biologists can apply rational analysis to study animal behaviour. Using chimpanzees (Pan troglodytes) as a case study, we modelled 19 years of observational data on their social contact patterns. Much like humans, the frequency of past encounters in chimpanzees linearly predicted future encounters, and the recency of past encounters predicted future encounters with a power function. Consistent with the rational analyses carried out for human memory, these findings suggest that chimpanzee memory performance should reflect those environmental regularities. In re-analysing existing chimpanzee memory data, we found that chimpanzee memory patterns mirrored their social contact patterns. Our findings hint that human and chimpanzee memory systems may have evolved to solve similar information-processing problems. Overall, rational analysis offers novel theoretical and methodological avenues for the comparative study of cognition. PMID:27853606

SOCIAL EXCLUSION AS AN OBJECT OF ECONOMIC ANALYSIS

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Z. Halushka

2014-06-01

Full Text Available In the article essence and forms of display of social exception of separate citizens and certain layers of population are certain as the socioeconomic phenomenon. Theoretical principles and methodology of estimation of the phenomenon of social exception are analyzed. Certain characteristic lines of social exception: subzero even consumptions and profit of individuals or groups; a limit access is to the public mechanisms of increase of welfare; a mainly passive type of cooperating is with society. Attention is accented on a defect for the individuals of row of rights, limit nature of access to the institutes that distribute resources, to the labor-market. Poverty is certain the main category of social exception. A concept "circles of poverty" and mechanisms of its existence are reasonable. Other displays of social exception-direct violation of base human rights are examined on quality education, on medical services and kind health, on the acceptable standard of living, on access to cultural acquisition, on defense of the interests and on the whole on participating in economic, social, in a civilized manner, political life of country. Cited data about part of torn away housekeeping of Ukraine on separate signs. The analysis of distribution of housekeeping after the amount of the accumulated signs of the social tearing away gave an opportunity to set a limit after that the social tearing away begins brightly to show up, at the level of 5 signs. It is certain the limit of the sharp tearing away. The second degree of tearing away – critical – answers a presence 7thsigns. At this level in Ukraine there are 37,7. That's far more than those, who are considered poor on a relative national criterion (24,0. It is set that conception of social exception shows the "horizontal cut" of the system of social relations and place of individual, layer, group and others like that in this system, certain on certain signs. The necessity of the use of

Social capital and the Danish system of innovation

DEFF Research Database (Denmark)

Gjerding, Allan Næs

2005-01-01

The paper explores the concept of social capital and applies it to the Danish national system of innovation. It is argued that social capital is important to the working of the national system of innovation, and that the way in which the concept of social capital informs the study of national...... systems of innovation is in accordance with fundamental contributions in the field. Reviewing a number of approaches to social capital, the paper shows that even though different views exist there seem to be a number of common features that will facilitate research both within individual fields and cross......-disciplinary. Regarding the Danish national system of innovation, social capital plays an important role, and a number of features facilitating social capital prevail. However, a number of challenges are present and calling for political action and future research. The main argument of the paper is that social capital...

Feedbacks between conservation and social-ecological systems

Science.gov (United States)

Miller, Brian W.; Caplow, Susan C.; Leslie, Paul W.

2012-01-01

Robust ways to meet objectives of environmental conservation and social and economic development remain elusive. This struggle may in part be related to insufficient understanding of the feedbacks between conservation initiatives and social-ecological systems, specifically, the ways in which conservation initiatives result in social changes that have secondary effects on the environments targeted by conservation. To explore this idea we sampled peer-reviewed articles addressing the social and environmental dimensions of conservation and coded each paper according to its research focus and characterization of these feedbacks. The majority of articles in our sample focused either on the effect of conservation initiatives on people (e.g., relocation, employment) or the effect of people on the environment (e.g., fragmentation, conservation efficacy of traditional management systems). Few studies in our sample empirically addressed both the social dynamics resulting from conservation initiatives and subsequent environmental effects. In many cases, one was measured and the other was discussed anecdotally. Among the studies that describe feedbacks between social and environmental variables, there was more evidence of positive (amplifying) feedbacks between social and environmental outcomes (i.e., undesirable social outcomes yielded undesirable environmental effects, and desirable social outcomes yielded desirable environmental effects). The major themes within the sampled literature include conflict between humans and wild animals, social movements, adaptive comanagement, loss of traditional management systems, traditional ecological knowledge, human displacement and risks to livelihoods, and conservation and development. The narratives associated with each theme can serve as hypotheses for facilitating further discussion about conservation issues and for catalyzing future studies of the feedbacks between conservation and social-ecological systems. PMID:22443128

Introductory analysis of sustainable consumption and production : Factors of corporate social responsibility management in Japan

OpenAIRE

八木, 迪幸; 國部, 克彦

2017-01-01

As an introductory analysis of sustainable consumption and production, this paper examines what factors influence corporate social responsibility management in Japan. Following some underlying theories (management control system; the neo-institutional theory; performance measurement systems; the stakeholder theory; the resource dependence theory), this paper conducts empirical studies using firm-level data. The first three studies examine what factors encourage corporate social responsibility...

Role-based Rights in Artificial Social Systems

NARCIS (Netherlands)

G. Boella (Guido); L.W.N. van der Torre (Leon)

2005-01-01

htmlabstract In this paper we use normative systems to introduce roles and rights in the game-theoretic artificial social systems developed by Shoham and Tennenholtz. We model normative systems as socially constructed agents whose behavior is determined by a set of role playing agents. Roles are

The CRF system and social behavior: a review.

Science.gov (United States)

Hostetler, Caroline M; Ryabinin, Andrey E

2013-01-01

The corticotropin-releasing factor (CRF) system plays a key role in a diversity of behaviors accompanying stress, anxiety and depression. There is also substantial research on relationships between social behaviors and the CRF system in a variety of taxa including fish, birds, rodents, and primates. Some of these relationships are due to the broad role of CRF and urocortins in stress and anxiety, but these peptides also modulate social behavior specifically. For example, the social interaction (SI) test is often used to measure anxiety-like behavior. Many components of the CRF system including CRF, urocortin1, and the R1 receptor have been implicated in SI, via general effects on anxiety as well as specific effects depending on the brain region. The CRF system is also highly responsive to chronic social stressors such as social defeat and isolation. Animals exposed to these stressors display a number of anxiety- and stress-related behaviors, accompanied by changes in specific components the CRF system. Although the primary focus of CRF research on social behavior has been on the deleterious effects of social stress, there are also insights on a role for CRF and urocortins in prosocial and affiliative behaviors. The CRF system has been implicated in parental care, maternal defense, sexual behavior, and pair bonding. Species differences in the ligands and CRF receptors have been observed in vole and bird species differing in social behavior. Exogenous administration of CRF facilitates partner preference formation in monogamous male prairie voles, and these effects are dependent on both the CRF R1 and R2 receptors. These findings are particularly interesting as studies have also implicated the CRF and urocortins in social memory. With the rapid progress of social neuroscience and in understanding the complex structure of the CRF system, the next challenge is in parsing the exact contribution of individual components of this system to specific social behaviors.

The CRF System and Social Behavior: A Review

Directory of Open Access Journals (Sweden)

Caroline M Hostetler

2013-05-01

Full Text Available The corticotropin-releasing factor (CRF system plays a key role in a diversity of behaviors accompanying stress, anxiety and depression. There is also substantial research on relationships between social behaviors and the CRF system in a variety of taxa including fish, birds, rodents, and primates. Some of these relationships are due to the broad role of CRF and urocortins in stress and anxiety, but these peptides also modulate social behavior specifically. For example, the social interaction (SI test is often used to measure anxiety-like behavior. Many components of the CRF system including CRF, urocortin1, and the R1 receptor have been implicated in SI, via general effects on anxiety as well as specific effects depending on the brain region. The CRF system is also highly responsive to chronic social stressors such as social defeat and isolation. Animals exposed to these stressors display a number of anxiety- and stress-related behaviors, accompanied by changes in specific components the CRF system. Although the primary focus of CRF research on social behavior has been on the deleterious effects of social stress, there are also insights on a role for CRF and urocortins in prosocial and affiliative behaviors. The CRF system has been implicated in parental care, maternal defense, sexual behavior, and pair bonding. Species differences in the ligands and CRF receptors have been observed in vole and bird species differing in social behavior. Exogenous administration of CRF facilitates partner preference formation in monogamous male prairie voles, and these effects are dependent on both the CRF R1 and R2 receptors. These findings are particularly interesting as studies have also implicated the CRF and urocortins in social memory. With the rapid progress of social neuroscience and in understanding the complex structure of the CRF system, the next challenge is in parsing the exact contribution of individual components of this system to specific social

Social systems: unearthing the big picture

DEFF Research Database (Denmark)

Cowley, Stephen

2014-01-01

Open peer commentary on the article “Social Autopoiesis?” by Hugo Urrestarazu. Upshot: Although accepting Urrestarazu’s view of how autopoietic dynamics can be sought in the domain of the non-living, we see no reason to trace the social to autonomy. Rather, we stress that social systems happen all...

Expert Students in Social Learning Management Systems

Science.gov (United States)

Avogadro, Paolo; Calegari, Silvia; Dominoni, Matteo Alessandro

2016-01-01

Purpose: A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a "normal" LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The…

Social cognition and the brain: a meta-analysis.

Science.gov (United States)

Van Overwalle, Frank

2009-03-01

This meta-analysis explores the location and function of brain areas involved in social cognition, or the capacity to understand people's behavioral intentions, social beliefs, and personality traits. On the basis of over 200 fMRI studies, it tests alternative theoretical proposals that attempt to explain how several brain areas process information relevant for social cognition. The results suggest that inferring temporary states such as goals, intentions, and desires of other people-even when they are false and unjust from our own perspective--strongly engages the temporo-parietal junction (TPJ). Inferring more enduring dispositions of others and the self, or interpersonal norms and scripts, engages the medial prefrontal cortex (mPFC), although temporal states can also activate the mPFC. Other candidate tasks reflecting general-purpose brain processes that may potentially subserve social cognition are briefly reviewed, such as sequence learning, causality detection, emotion processing, and executive functioning (action monitoring, attention, dual task monitoring, episodic memory retrieval), but none of them overlaps uniquely with the regions activated during social cognition. Hence, it appears that social cognition particularly engages the TPJ and mPFC regions. The available evidence is consistent with the role of a TPJ-related mirror system for inferring temporary goals and intentions at a relatively perceptual level of representation, and the mPFC as a module that integrates social information across time and allows reflection and representation of traits and norms, and presumably also of intentionality, at a more abstract cognitive level.

AN ANALYSIS OF SOCIAL INCLUSION IN EU

Directory of Open Access Journals (Sweden)

HARALAMBIE GEORGE ALIN

2017-08-01

Full Text Available Social inclusion, a dynamic process of stringent topicality, manifested in the community space, is constituted in a subject with multiple reverberations on contemporary society. From this perspective, the growing interest of the Member States in social inclusion is due to the widening of existing inequalities in terms of people's living standards due to the deterioration of economic well-being. A growing number of studies on social cohesion at the level of the countries of the European Union tried to identify the similarities and disparities between Member States in the process of social inclusion. The paper evaluated and compared the existing disparities between the 28 EU countries, based on a set of social indicators that provide an insight into social inclusion. The methodology used implied a cluster analysis based on the method of k-means, which allowed me to form a grouping of Member States based on indicators of social inclusion. The results of the analysis reveal significant differences between the countries of the European Union regarding social inclusion due to factors of a political, economic and social nature. Understanding the mechanism of manifestation and correction of the level of social inclusion can provide, in this sense, explanations and solutions in capitalizing the economic potential by developing specific policies to the existing social imbalances.

Understanding large social-ecological systems: introducing the SESMAD project

Directory of Open Access Journals (Sweden)

Michael Cox

2014-08-01

Full Text Available This article introduces the Social-ecological systems meta-analysis database (SESMAD project, which is the project behind the case studies and synthetic articles contained in this special issue of the International Journal of the Commons. SESMAD is an internationally collaborative meta-analysis project that builds on previous seminally synthetic work on small-scale common-pool resource systems conducted at the Workshop in Political Theory and Policy Analysis at Indiana University. This project is guided by the following research question: can the variables found to be important in explaining outcomes on small-scale systems be scaled up to explain outcomes in large-scale environmental governance? In this special issue we report on our findings thus far through a set of case studies of large-scale environmental governance, a paper that describes our conceptual advances, and a paper that compares these five case studies to further examine our central research question.

[Social representations of municipal counselors regarding social control in health in the Brazilian Unified Health System (SUS)].

Science.gov (United States)

Shimizu, Helena Eri; Pereira, Marcio Florentino; Cardoso, Antonio José Costa; Bermudez, Ximena Pamela Claudia Dias

2013-08-01

This study seeks to analyze the social representations of municipal health counselors regarding social control in health. Sixty interviews were conducted with counselors of nineteen counties within the Integrated Federal District Region and Surrounding Areas (RIDE-DF). Data analysis was conducted with the use of French Alceste software, which included two thematic groups. The first dealt with the weaknesses of health councils, consisting of four categories: limitations in decision-making powers, bureaucratization of everyday practices, weaknesses in social participation and limitations in the practice of representation. The second dealt with the health system in RIDE-DF, consisting of only one category that expresses the precarious organization of health care in RIDE-DF. Social representation of social control, with a focus on social participation appears to be constrained by a ritual, namely the bureaucratization of policies and practices in the councils. This form of hierarchical and bureaucratic organization and operation of the council, based on a centralizing management model, has distanced the counselors from discussing health needs geared to the construction of public Health Projects.

Social roles and performance of social-ecological systems: evidence from behavioral lab experiments

Directory of Open Access Journals (Sweden)

Irene Perez

2015-09-01

Full Text Available Social roles are thought to play an important role in determining the capacity for collective action in a community regarding the use of shared resources. Here we report on the results of a study using a behavioral experimental approach regarding the relationship between social roles and the performance of social-ecological systems. The computer-based irrigation experiment that was the basis of this study mimics the decisions faced by farmers in small-scale irrigation systems. In each of 20 rounds, which are analogous to growing seasons, participants face a two-stage commons dilemma. First they must decide how much to invest in the public infrastructure, e.g., canals and water diversion structures. Second, they must decide how much to extract from the water made available by that public infrastructure. Each round begins with a 60-second communication period before the players make their investment and extraction decisions. By analyzing the chat messages exchanged among participants during the communication stage of the experiment, we coded up to three roles per participant using the scheme of seven roles known to be important in the literature: leader, knowledge generator, connector, follower, moralist, enforcer, and observer. Our study supports the importance of certain social roles (e.g., connector previously highlighted by several case study analyses. However, using qualitative comparative analysis we found that none of the individual roles was sufficient for groups to succeed, i.e., to reach a certain level of group production. Instead, we found that a combination of at least five roles was necessary for success. In addition, in the context of upstream-downstream asymmetry, we observed a pattern in which social roles assumed by participants tended to differ by their positions. Although our work generated some interesting insights, further research is needed to determine how robust our findings are to different action situations, such as

Dialectics of Rational Change Management in Regional Social Systems

Directory of Open Access Journals (Sweden)

Aleksandr Ivanovich Tatarkin

2015-06-01

Full Text Available In the article, the attention is paid to a role of service-producing industries rendering social services, promoting human development in the modern state. Theoretical positions of scientists considering meaning of the social benefits and need of active state support of the social sphere are generalized. The condition of the Russian service-producing industries is considered, the comparative analysis of indicators of their activity with indicators of service-producing industries of other countries is carried out. In view of indicators of the efficiency ratings of national education systems, world countries on the health systems efficiency, world countries on the level of social development of 2014, the author’s conceptual approach is offered; it considers interconditionality and interdependence of level of public financing of the social sphere and dynamics of a contribution of service-producing industries to the human capital development providing a gain of gross domestic product of the country. Need of innovative changes in socio-economic systems of service-producing industries for the efficiency increase of their activity, taking into account the received results — first of all in health care is proved. Theoretical approaches to management of changes in socio-economic systems are investigated. On the basis of the conducted research, the created theoretical basis of the level increase of change management in open socioeconomic systems for the purpose of the theoretical and methodological approaches to development to change management in relation to health sector, the optimization model of management of health care organizations ranging controlled and uncontrollable changes is offered. The use possibilities of management optimization by ranging controlled and uncontrollable changes in health sector of different management levels are confirmed by the high rates of performance efficiency on micro-, meso- and macrolevel in industry on the

Cross-impact balances. Applying pair interaction systems and multi-value Kauffman nets to multidisciplinary systems analysis

Science.gov (United States)

Weimer-Jehle, Wolfgang

2008-06-01

Cross-impact analysis is the name for a familiar method for multidisciplinary systems analysis in social sciences and management sciences, especially in technology foresight, technology assessment and scenario planning. A recently proposed form of cross-impact analysis, CIB, may be of interest for physicists, sociophysicists and complex network researchers because the CIB concept reveals considerable relations to some concepts of these research fields. This article describes the basics of CIB analysis framework, its applications in the social sciences, and its relations to the equilibrium points of pair interaction systems, random graphs, and generalized Kauffman nets. Therefore CIB can be seen as a merger of concepts originating in utterly different scientific fields. This may prove to be fruitful for both sides: For sociophysicists as an example of the application of complex network concepts in the social sciences and for cross-impact practitioners as a source of theoretical insights in the background of their tool.

The relationship between social capital and quality management systems in European hospitals: a quantitative study.

Science.gov (United States)

Hammer, Antje; Arah, Onyebuchi A; Dersarkissian, Maral; Thompson, Caroline A; Mannion, Russell; Wagner, Cordula; Ommen, Oliver; Sunol, Rosa; Pfaff, Holger

2013-01-01

Strategic leadership is an important organizational capability and is essential for quality improvement in hospital settings. Furthermore, the quality of leadership depends crucially on a common set of shared values and mutual trust between hospital management board members. According to the concept of social capital, these are essential requirements for successful cooperation and coordination within groups. We assume that social capital within hospital management boards is an important factor in the development of effective organizational systems for overseeing health care quality. We hypothesized that the degree of social capital within the hospital management board is associated with the effectiveness and maturity of the quality management system in European hospitals. We used a mixed-method approach to data collection and measurement in 188 hospitals in 7 European countries. For this analysis, we used responses from hospital managers. To test our hypothesis, we conducted a multilevel linear regression analysis of the association between social capital and the quality management system score at the hospital level, controlling for hospital ownership, teaching status, number of beds, number of board members, organizational culture, and country clustering. The average social capital score within a hospital management board was 3.3 (standard deviation: 0.5; range: 1-4) and the average hospital score for the quality management index was 19.2 (standard deviation: 4.5; range: 0-27). Higher social capital was associated with higher quality management system scores (regression coefficient: 1.41; standard error: 0.64, p=0.029). The results suggest that a higher degree of social capital exists in hospitals that exhibit higher maturity in their quality management systems. Although uncontrolled confounding and reverse causation cannot be completely ruled out, our new findings, along with the results of previous research, could have important implications for the work of

Activity systems modeling as a theoretical lens for social exchange studies

Directory of Open Access Journals (Sweden)

Ernest Jones

2016-01-01

Full Text Available The social exchange perspective seeks to acknowledge, understand and predict the dynamics of social interactions. Empirical research involving social exchange constructs have grown to be highly technical including confirmatory factor analysis to assess construct distinctiveness and structural equation modeling to assess construct causality. Each study seemingly strives to assess how underlying social exchange theoretic constructs interrelate. Yet despite this methodological depth and resultant explanatory and predictive power, a significant number of studies report findings that, once synthesized, suggest an underlying persistent threat of conceptual or construct validity brought about by a search for epistemological parsimony. Further, it is argued that a methodological approach that embraces inherent complexity such as activity systems modeling facilitates the search for simplified models while not ignoring contextual factors.

SOCIAL AND ETHIC INFLUENCE OF INFORMATION SYSTEMS ON GENERAL SOCIAL STATE DEVELOPMENT

Directory of Open Access Journals (Sweden)

V. A. Zova

2010-11-01

Full Text Available In this article the analysis of intercommunication of social and ethical aspects of the use of information networks is conducted and their influence on social development of the state is determined.

Hybrid attacks on model-based social recommender systems

Science.gov (United States)

Yu, Junliang; Gao, Min; Rong, Wenge; Li, Wentao; Xiong, Qingyu; Wen, Junhao

2017-10-01

With the growing popularity of the online social platform, the social network based approaches to recommendation emerged. However, because of the open nature of rating systems and social networks, the social recommender systems are susceptible to malicious attacks. In this paper, we present a certain novel attack, which inherits characteristics of the rating attack and the relation attack, and term it hybrid attack. Furtherly, we explore the impact of the hybrid attack on model-based social recommender systems in multiple aspects. The experimental results show that, the hybrid attack is more destructive than the rating attack in most cases. In addition, users and items with fewer ratings will be influenced more when attacked. Last but not the least, the findings suggest that spammers do not depend on the feedback links from normal users to become more powerful, the unilateral links can make the hybrid attack effective enough. Since unilateral links are much cheaper, the hybrid attack will be a great threat to model-based social recommender systems.

The Social Dimensions of Sustainability and Change in Diversified Farming Systems

Directory of Open Access Journals (Sweden)

Christopher M. Bacon

2012-12-01

Full Text Available Agricultural systems are embedded in wider social-ecological processes that must be considered in any complete discussion of sustainable agriculture. Just as climatic profiles will influence the future viability of crops, institutions, i.e., governance agreements, rural household and community norms, local associations, markets, and agricultural ministries, to name but a few, create the conditions that foster sustainable food systems. Because discussions of agricultural sustainability often overlook the full range of social dimensions, we propose a dual focus on a broad set of criteria, i.e., human health, labor, democratic participation, resiliency, biological and cultural diversity, equity, and ethics, to assess social outcomes, and on institutions that could support diversified farming systems (DFS. A comparative analysis of case studies from California's Central Valley, Mesoamerican coffee agroforestry systems, and European Union agricultural parks finds that DFS practices are unevenly adopted within and among these systems and interdependent with institutional environments that specifically promote diversified farming practices. Influential institutions in these cases include state policies, farmers' cooperatives/associations, and organized civic efforts to influence agroenvironmental policy, share knowledge, and shape markets for more 'sustainable' products. The Californian and Mesoamerican cases considers organic and fair trade certifications, finding that although they promote several DFS practices and generate social benefits, they are inadequate as a single strategy to promote agricultural sustainability. The complex governance and multifunctional management of Europe's peri-urban agricultural parks show unexpected potential for promoting DFS. Unless DFS are anchored in supportive institutions and evaluated against an inclusive set of social and environmental criteria, short-term investments to advance diversified agriculture could

Using Social Network Analysis to Investigate Positive EOL Communication.

Science.gov (United States)

Xu, Jiayun; Yang, Rumei; Wilson, Andrew; Reblin, Maija; Clayton, Margaret F; Ellington, Lee

2018-04-30

End of life (EOL) communication is a complex process involving the whole family and multiple care providers. Applications of analysis techniques that account for communication beyond the patient and patient/provider, will improve clinical understanding of EOL communication. To introduce the use of social network analysis to EOL communication data, and to provide an example of applying social network analysis to home hospice interactions. We provide a description of social network analysis using social network analysis to model communication patterns during home hospice nursing visits. We describe three social network attributes (i.e. magnitude, directionality, and reciprocity) in the expression of positive emotion among hospice nurses, family caregivers, and hospice cancer patients. Differences in communication structure by primary family caregiver gender and across time were also examined. Magnitude (frequency) in the expression of positive emotion occurred most often between nurses and caregivers or nurses and patients. Female caregivers directed more positive emotion to nurses, and nurses directed more positive emotion to other family caregivers when the primary family caregiver was male. Reciprocity (mutuality) in positive emotion declined towards day of death, but increased on day of actual patient death. There was variation in reciprocity by the type of positive emotion expressed. Our example demonstrates that social network analysis can be used to better understand the process of EOL communication. Social network analysis can be expanded to other areas of EOL research, such as EOL decision-making and health care teamwork. Copyright © 2018. Published by Elsevier Inc.

Social Entrepreneurship: Framework for feasibility analysis of social business concepts

OpenAIRE

Groth, Ida Eikvåg; Magnussen, Line

2011-01-01

ABSTRACTPURPOSEWith the increased interest in social entrepreneurship demonstrated within business schools and academic environments, the adaption of existing academic entrepreneurial constructs for social entrepreneurship applications becomes relevant. The purpose of this thesis is to develop additional tools to the traditional feasibility analysis. The tools will be specifically directed at technology-based concepts, due to the increased employment of technology-based products to solve soci...

Social software: E-learning beyond learning management systems

DEFF Research Database (Denmark)

Dalsgaard, Christian

2006-01-01

The article argues that it is necessary to move e-learning beyond learning management systems and engage students in an active use of the web as a resource for their self-governed, problem-based and collaborative activities. The purpose of the article is to discuss the potential of social software...... to move e-learning beyond learning management systems. An approach to use of social software in support of a social constructivist approach to e-learning is presented, and it is argued that learning management systems do not support a social constructivist approach which emphasizes self-governed learning...... activities of students. The article suggests a limitation of the use of learning management systems to cover only administrative issues. Further, it is argued that students' self-governed learning processes are supported by providing students with personal tools and engaging them in different kinds of social...

Earnings Sharing in the U.S. Social Security System: A Microsimulation Analysis of Future Female Retirees

Science.gov (United States)

Iams, Howard M.; Reznik, Gayle L.; Tamborini, Christopher R.

2010-01-01

Purpose: As part of an ongoing effort to analyze the distributional implications of potential policy reforms to the U.S. Social Security system, we consider the widely discussed reform of earnings sharing. Such an approach has been viewed as a way to "update" Social Security's family benefits based on marital status and as a means to…

Developing conservation targets in social-ecological systems

Directory of Open Access Journals (Sweden)

Phillip S. Levin

2015-12-01

Full Text Available The development of targets is foundational in conservation. Although progress has been made in setting targets, the diverse linkages among ecological and social components make target setting for coupled social-ecological systems extremely challenging. Developing integrated social-ecological targets is difficult because it forces policy makers to consider how management actions propagate throughout social-ecological systems, and because ultimately it is society, not scientists, that defines targets. We developed an interdisciplinary approach for identifying management targets and illustrate this approach using an example motivated by Puget Sound, USA. Our approach blends ecological modeling with empirical social science to articulate trade-offs and reveal societal preferences for different social-ecological states. The framework aims to place information in the hands of decision makers and promote discussion in the appropriate forums. Our ultimate objective is to encourage the informed participation of citizens in the development of social-ecological targets that reflect their values while also protecting key ecosystem attributes.

EvoRiver: Visual Analysis of Topic Coopetition on Social Media.

Science.gov (United States)

Sun, Guodao; Wu, Yingcai; Liu, Shixia; Peng, Tai-Quan; Zhu, Jonathan J H; Liang, Ronghua

2014-12-01

Cooperation and competition (jointly called "coopetition") are two modes of interactions among a set of concurrent topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compete with one another? Who plays the key role in coopetition-related interactions? We answer these intricate questions by proposing a visual analytics system that facilitates the in-depth analysis of topic coopetition on social media. We model the complex interactions among topics as a combination of carry-over, coopetition recruitment, and coopetition distraction effects. This model provides a close functional approximation of the coopetition process by depicting how different groups of influential users (i.e., "topic leaders") affect coopetition. We also design EvoRiver, a time-based visualization, that allows users to explore coopetition-related interactions and to detect dynamically evolving patterns, as well as their major causes. We test our model and demonstrate the usefulness of our system based on two Twitter data sets (social topics data and business topics data).

African Social Security Systems: An Ordinal Evaluation | Dixon ...

African Journals Online (AJOL)

The purpose of this paper is to rank the social security systems in 45 African countries using a comparative evaluation methodology that enables an assess ment to be ma(le of a country's statutory social security intention. The conclusion drawn is that the spread of African social security system design standards are ...

Comparative Analysis of the Social Assistance System in Romania vs. Hungary

Directory of Open Access Journals (Sweden)

Oprișan Oana

2017-01-01

Full Text Available The problems of social assistance are addressed and solved within the national framework of each state, social assistance by its nature having an internal character. Social assistance is being restructured and develops according to the existing situation of the population and the local and regional traditions, but it also takes into account the international regulations. According to the provisions of art. 22 of the Universal Declaration of Human Rights states that any person, in his capacity as a member of society, has the right to social security (social protection and therefore to social assistance; she is entitled to achieve the economic, social and cultural rights indispensable for her dignity and for the free development of her personality through national effort and international collaboration, taking into account the resources of each country.

Conservation of Information: Reverse engineering dark social systems

OpenAIRE

Lawless, W. F.; Rifkin, Stan; Sofge, Donald; Hobbs, Stephen H.; Angjellari-Dajci, F.; Chaudron, Laurent; Wood, Joseph

2010-01-01

A broad appeal for a new theory of interdependence, 'iota', has been requested for the science of complexity in a special issue of Science, for social network analysis by the National Academy of Sciences, for effects-based operations by the US military, and for modernizing the fields of law and economics. We have proposed a new theory of 'iota' for organizations and systems that already appears to exhibit some validity. It is expressed in a physics of 'iota' (e.g., bistability) that includes ...

The social structural foundations of adaptation and transformation in social-ecological systems

Directory of Open Access Journals (Sweden)

Michele L. Barnes

2017-12-01

Full Text Available Social networks are frequently cited as vital for facilitating successful adaptation and transformation in linked social-ecological systems to overcome pressing resource management challenges. Yet confusion remains over the precise nature of adaptation vs. transformation and the specific social network structures that facilitate these processes. Here, we adopt a network perspective to theorize a continuum of structural capacities in social-ecological systems that set the stage for effective adaptation and transformation. We begin by drawing on the resilience literature and the multilayered action situation to link processes of change in social-ecological systems to decision making across multiple layers of rules underpinning societal organization. We then present a framework that hypothesizes seven specific social-ecological network configurations that lay the structural foundation necessary for facilitating adaptation and transformation, given the type and magnitude of human action required. A key contribution of the framework is explicit consideration of how social networks relate to ecological structures and the particular environmental problem at hand. Of the seven configurations identified, three are linked to capacities conducive to adaptation and three to transformation, and one is hypothesized to be important for facilitating both processes. We discuss how our theoretical framework can be applied in practice by highlighting existing empirical examples from related environmental governance contexts. Further extension of our hypotheses, particularly as more data become available, can ultimately help guide the design of institutional arrangements to be more effective at dealing with change.

Social Intelligence in a Human-Machine Collaboration System

Science.gov (United States)

Nakajima, Hiroshi; Morishima, Yasunori; Yamada, Ryota; Brave, Scott; Maldonado, Heidy; Nass, Clifford; Kawaji, Shigeyasu

In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. There are two kinds of information that is exchanged by two entities: objective and functional information (e.g., facts, requests, states of matters, etc.) and subjective information (e.g., feelings, sense of relationship, etc.). Traditional interactive systems have been designed to handle the former kind of information. In contrast, in this study social agents handling the latter type of information are presented. The current study focuses on sociality of the agent from the view point of Media Equation theory. This article discusses the definition, importance, and benefits of social intelligence as agent technology and argues that social intelligence has a potential to enhance the user's perception of the system, which in turn can lead to improvements of the system's performance. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model has been implemented in a human-machine collaborative learning system. One differentiating feature of the collaborative learning system is that it has an agent that performs as a co-learner with which the user interacts during the learning session. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the system suggested that a greater degree of learning was achieved when the students worked with the co-learner agent and that the co-learner agent with the mind model that expressed emotions resulted in a more positive attitude toward the system.

Incorporating Social System Dynamics into the Food-Energy-Water System Resilience-Sustainability Modeling Process

Science.gov (United States)

Givens, J.; Padowski, J.; Malek, K.; Guzman, C.; Boll, J.; Adam, J. C.; Witinok-Huber, R.

2017-12-01

In the face of climate change and multi-scalar governance objectives, achieving resilience of food-energy-water (FEW) systems requires interdisciplinary approaches. Through coordinated modeling and management efforts, we study "Innovations in the Food-Energy-Water Nexus (INFEWS)" through a case-study in the Columbia River Basin. Previous research on FEW system management and resilience includes some attention to social dynamics (e.g., economic, governance); however, more research is needed to better address social science perspectives. Decisions ultimately taken in this river basin would occur among stakeholders encompassing various institutional power structures including multiple U.S. states, tribal lands, and sovereign nations. The social science lens draws attention to the incompatibility between the engineering definition of resilience (i.e., return to equilibrium or a singular stable state) and the ecological and social system realities, more explicit in the ecological interpretation of resilience (i.e., the ability of a system to move into a different, possibly more resilient state). Social science perspectives include but are not limited to differing views on resilience as normative, system persistence versus transformation, and system boundary issues. To expand understanding of resilience and objectives for complex and dynamic systems, concepts related to inequality, heterogeneity, power, agency, trust, values, culture, history, conflict, and system feedbacks must be more tightly integrated into FEW research. We identify gaps in knowledge and data, and the value and complexity of incorporating social components and processes into systems models. We posit that socio-biophysical system resilience modeling would address important complex, dynamic social relationships, including non-linear dynamics of social interactions, to offer an improved understanding of sustainable management in FEW systems. Conceptual modeling that is presented in our study, represents

Employing Data Fusion in Cultural Analysis and Counterinsurgency in Tribal Social Systems

OpenAIRE

Merten, Steffen

2009-01-01

This article was published in Culture and Conflict Review (Fall 2009), v.3 no.3 "The point of this essay has been to outline ways that data fusion may be achieved, and how it can dramatically enhance the analytical capabilities of cultural analysts, especially in tribal social systems. By using Visual Analytics theory and technology to conduct the labor intensive aspects of data fusion, and accepting the theoretical justification of fusion between the geospatial, relational, and temporal d...

Fuzzy-Set Based Sentiment Analysis of Big Social Data

DEFF Research Database (Denmark)

Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi

2014-01-01

Computational approaches to social media analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. There are no other unified modelling approaches to social data that integrate...... the conceptual, formal, software, analytical and empirical realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on fuzzy set theory and describe the operational semantics of the formal model with a real-world social data example...... from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth, we use SODATO to fetch social data from the facebook wall of a global brand...

Standardization of Social Credit System Initiated in China

Institute of Scientific and Technical Information of China (English)

无

2004-01-01

@@ Introduction The current government advances that the order of market economy should be standardized and the social credit system of market economy in modern times should be established and completed. The social credit system should be formed on the basis of property right, supported by moral and high consciousness of social credit. Therefore, the basic framework and operation mechanism of the standards system for social credit will be established in 5 years in China in order to make standards play an important role in a regular market and the aspect of credit management, to improve administration's compliance with the regulation, and to facilitate the market economic order.

DARE: Unesco Computerized Data Retrieval System for Documentation in the Social and Human Sciences (Including an Analysis of the Present System).

Science.gov (United States)

Vasarhelyi, Paul

The new data retrieval system for the social sciences which has recently been installed in the UNESCO Secretariat in Paris is described in this comprehensive report. The computerized system is designed to facilitate the existing storage systems in the circulation of information, data retrieval, and indexing services. Basically, this report…

Genre Analysis in the Frame of Systemic Functional Linguistics

Directory of Open Access Journals (Sweden)

Najih Imtihani

2012-08-01

Full Text Available Systemic Functional Linguistics is a linguistics approach which cop-siders not only the structure of the language but also its social context. In the Systemic Functional Linguistics the concept of genre is defined as a step-by-step activity to reach the goal. The concept of genre is used to describe the cultural context in a language. According to this view, text should be seen and observed in its interaction with the context and social background. For that, the genre analysis will constantly involve the linguistic social context in the forms of field, tenor, mode, schematic structure and its realization in the text.

Strengthening flood warning systems: the benefits of encouraging social preparedness

Science.gov (United States)

Girons Lopez, Marc; Di Baldassarre, Giuliano; Seibert, Jan

2017-04-01

Flood warning and response have normally been focused on the technical aspects and disregarded the connections and feedbacks between the hydrological and social dimensions. An increasing body of research, however, points at the importance of considering socio-hydrological aspects to improve flood damage mitigation. One of the key factors is the preparedness of the public and first responders during flood situations, which is influenced by many behavioural traits such as perceived benefits, risk awareness, or denial. In this study, we investigate the impact of social preparedness on the efficiency of flood early warning systems by using the recency of flood experience as a proxy for social preparedness. To this end, we developed a stylised model and a synthetic data-set to perform a hypothetical analysis. The main findings point to the importance of social preparedness for flood loss mitigation, especially when the technical forecasting and warning capabilities are limited. More specifically, efforts to promote and preserve social preparedness may help to reduce disaster-induced losses by almost one half. The findings from this study provide insights into the importance of considering social preparedness in decision-making for disaster risk reduction.

Systemic humiliation as daily social suffering

DEFF Research Database (Denmark)

Rothbart, Daniel; Poder, Poul

2017-01-01

and capacities of these people. Drawing upon recent developments in social identity theory, moral philosophy, sociological theory, and clinical psychology, we argue that systemic humiliation generates social pain that is experienced as annulment of one’s inherent value; it is an affront to suffering persons...

Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

Directory of Open Access Journals (Sweden)

A. A. Salama

2015-03-01

Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

Recommender systems for location-based social networks

CERN Document Server

Symeonidis, Panagiotis; Manolopoulos, Yannis

2014-01-01

Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of t...

Structural-functional and parametric analysis of the social function of pharmaceutical industry

Directory of Open Access Journals (Sweden)

N. O. Tkachenko

2016-12-01

Full Text Available Pharmacy has always had a special (social value and was sensitive to the new social changes in the society and the state. These changes allow better understand the issues associated with increasing the efficiency of pharmaceutical care to the population. The aim of the work: identify, justify and to summarize the main elements of the social function of pharmacy, as a component of health care system, to further evaluate the properties of the pharmaceutical industry as a system. Materials and methods. To achieve this goal the principle of a systematic approach and the complex of research methods such as structural, functional and parametric analysis, logical knowledge and comparison, ad also generalization have been used. As materials of research, we used the results of fundamental and applied research of national and foreign experts on the issue. Results and discussion. The basic principles of the welfare state and pharmacy as socially oriented sectors of the economy have been determined. We have found that the pharmaceutical industry is an agent, which implements a number of elements of the social function, such as pharmaceutical assistance to the population, the production of social goods (drugs, medical products, medical cosmetics, etc., creating and providing of working places, paying taxes (replenishment of the state budget, the formation and development of human capital, research and innovation activities, charity and sponsorship, environmental protection. Ukraine formally acceded to United Nations document, «Agenda for the XXI Century». This agreement commits our government to implement development and implementation of sustainable development strategies. Its main components are the social responsibility, social integration, an efficient worker and effective owner. Social responsibility acts as a reverse reaction on realization of social policy through the main sectors of the economy. Conclusions. We have summarized the information and

Social media modeling and computing

CERN Document Server

Hoi, Steven CH; Boll, Susanne; Xu, Dong; Jin, Rong; King, Irwin

2011-01-01

Presents contributions from an international selection of preeminent experts in the field Discusses topics on social-media content analysis, and examines social-media system design and analysis Describes emerging applications of social media

The Relationship between Social Capital and Quality Management Systems in European Hospitals: A Quantitative Study

Science.gov (United States)

Hammer, Antje; Arah, Onyebuchi A.; DerSarkissian, Maral; Thompson, Caroline A.; Mannion, Russell; Wagner, Cordula; Ommen, Oliver; Sunol, Rosa; Pfaff, Holger

2013-01-01

Background Strategic leadership is an important organizational capability and is essential for quality improvement in hospital settings. Furthermore, the quality of leadership depends crucially on a common set of shared values and mutual trust between hospital management board members. According to the concept of social capital, these are essential requirements for successful cooperation and coordination within groups. Objectives We assume that social capital within hospital management boards is an important factor in the development of effective organizational systems for overseeing health care quality. We hypothesized that the degree of social capital within the hospital management board is associated with the effectiveness and maturity of the quality management system in European hospitals. Methods We used a mixed-method approach to data collection and measurement in 188 hospitals in 7 European countries. For this analysis, we used responses from hospital managers. To test our hypothesis, we conducted a multilevel linear regression analysis of the association between social capital and the quality management system score at the hospital level, controlling for hospital ownership, teaching status, number of beds, number of board members, organizational culture, and country clustering. Results The average social capital score within a hospital management board was 3.3 (standard deviation: 0.5; range: 1-4) and the average hospital score for the quality management index was 19.2 (standard deviation: 4.5; range: 0-27). Higher social capital was associated with higher quality management system scores (regression coefficient: 1.41; standard error: 0.64, p=0.029). Conclusion The results suggest that a higher degree of social capital exists in hospitals that exhibit higher maturity in their quality management systems. Although uncontrolled confounding and reverse causation cannot be completely ruled out, our new findings, along with the results of previous research, could

Consumer-oriented social data fusion: controlled learning in social environments, social advertising, and more

Science.gov (United States)

Grewe, L.

2013-05-01

This paper explores the current practices in social data fusion and analysis as it applies to consumer-oriented applications in a slew of areas including business, economics, politics, sciences, medicine, education and more. A categorization of these systems is proposed and contributions to each area are explored preceded by a discussion of some special issues related to social data and networks. From this work, future paths of consumer-based social data analysis research and current outstanding problems are discovered.

Enforcement of evaluation by achievement analysis system

International Nuclear Information System (INIS)

Konishi, Yasutoshi; Sonoyama, Minoru; Suzuki, Atsushi

2004-02-01

Japan Nuclear Cycle Development Institute (JNC) has developed FBR achievement analysis system by the last fiscal year and has enforced the investigation of its functional expansion. That system is based on the AHP (Analytic Hierarchy Process) to do comparative evaluation multilaterally between proposed concepts of FBR cycle or between FBR cycle and other power source systems. This fiscal year, we enforced achievement analysis for 22 cases of proposed concepts of FBR cycle and between FBR cycle and other power source systems (LWR, thermal power generation, hydraulic power generation, etc.). The evaluation items related with technical feasibility and social acceptability were included in addition to those of economy, resource utilization effectiveness, environmental burden reduction, nuclear proliferation resistance and safety. Also, we investigated social changes that could happen in our country in the future, and we drew 4 future scenarios combining likely changes, then we investigated classifications of weight that seem to be adequate under each scenario with its calculation logic. In establishing points of view or structure of evaluation, and in the process of drawing scenarios, we collected comments from experts in OR (Operations Research) field and energy field. (author)

Social challenges when implementing information systems in everyday work in a nursing context.

Science.gov (United States)

Nilsson, Lina; Eriksén, Sara; Borg, Christel

2014-09-01

Implementation of information systems in healthcare has become a lengthy process where healthcare staff (eg, nurses) are expected to put information into systems without getting the overall picture of the potential usefulness for their own work. The aim of this study was to explore social challenges when implementing information systems in everyday work in a nursing context. Moreover, this study aimed at putting perceived social challenges in a theoretical framework to address them more constructively when implementing information systems in healthcare. Influenced by institutional ethnography, the findings are based on interviews, observations, and written reflections. Power (changing the existing hierarchy, alienation), professional identity (calling on hold, expert becomes novice, changed routines), and encounter (ignorant introductions, preconceived notions) were categories (subcategories) presented in the findings. Social Cognitive Theory, Diffusion of Innovations, organizational culture, and dramaturgical analysis are proposed to set up a theoretical framework. If social challenges are not considered and addressed in the implementation process, it will be affected by nurses' solidarity to existing power structures and their own professional identity. Thus, implementation of information systems affects more aspects in the organization than might have been intended. These aspects need to be taken in to account in the implementation process.

Vulnerability and risk of deltaic social-ecological systems exposed to multiple hazards.

Science.gov (United States)

Hagenlocher, Michael; Renaud, Fabrice G; Haas, Susanne; Sebesvari, Zita

2018-08-01

Coastal river deltas are hotspots of global change impacts. Sustainable delta futures are increasingly threatened due to rising hazard exposure combined with high vulnerabilities of deltaic social-ecological systems. While the need for integrated multi-hazard approaches has been clearly articulated, studies on vulnerability and risk in deltas either focus on local case studies or single hazards and do not apply a social-ecological systems perspective. As a result, vulnerabilities and risks in areas with strong social and ecological coupling, such as coastal deltas, are not fully understood and the identification of risk reduction and adaptation strategies are often based on incomplete assumptions. To overcome these limitations, we propose an innovative modular indicator library-based approach for the assessment of multi-hazard risk of social-ecological systems across and within coastal deltas globally, and apply it to the Amazon, Ganges-Brahmaputra-Meghna (GBM), and Mekong deltas. Results show that multi-hazard risk is highest in the GBM delta and lowest in the Amazon delta. The analysis reveals major differences between social and environmental vulnerability across the three deltas, notably in the Mekong and the GBM deltas where environmental vulnerability is significantly higher than social vulnerability. Hotspots and drivers of risk vary spatially, thus calling for spatially targeted risk reduction and adaptation strategies within the deltas. Ecosystems have been identified as both an important element at risk as well as an entry point for risk reduction and adaptation strategies. Copyright © 2018. Published by Elsevier B.V.

State of the art applications of social network analysis

CERN Document Server

Can, Fazli; Polat, Faruk

2014-01-01

Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of user

Not just another variable: untangling the spatialities of power in social-ecological systems

Directory of Open Access Journals (Sweden)

Micah L. Ingalls

2017-09-01

Full Text Available Increased attention has been paid to how the spatial dimensions of social-ecological systems are formative in shaping their ability to negotiate change and remain resilient. This paper moves this research further by exploring how diverse forms of power play a crucial role in shaping these spatial dimensions and the production of social-ecological outcomes. Grounding these explorations in a National Protected Area in Lao PDR, this paper explores how power relationships operate through the spatial and temporal domains of complex systems. Findings suggest (at least four important insights: (1 the exercise of power materializes in policies and programs and becomes written onto the spaces of social-ecological systems through boundary creation, zonation, and other social processes that (redefine spatial meanings; these meanings vary by social actor; (2 policies and programs map out unevenly across space and time as they interact with antecedent social-ecological conditions in ways that preclude linear causal relationships between policy and outcomes; (3 although local in their expression, spatialized disputes in social-ecological systems draw on cross-scalar discourses and networks of power to bolster, undermine, and (delegitimize competing environmental and social narratives; and (4 however powerful institutions and actor-networks may be, they are never fully hegemonic as they are attenuated by other discourses and operations of power, although these all play out across a highly uneven sociopolitical terrain. Paying greater attention to the spatial and temporal dynamics of power may be much more than a project of introducing yet another variable into the already complex admixture of analytic elements. Rather, by rendering these explicit as objects of analysis, common insights may change entirely or even be overturned.

Visual social network analysis: effective approach to model complex human social, behaviour & culture.

Science.gov (United States)

Ahram, Tareq Z; Karwowski, Waldemar

2012-01-01

The advent and adoption of internet-based social networking has significantly altered our daily lives. The educational community has taken notice of the positive aspects of social networking such as creation of blogs and to support groups of system designers going through the same challenges and difficulties. This paper introduces a social networking framework for collaborative education, design and modeling of the next generation of smarter products and services. Human behaviour modeling in social networking application aims to ensure that human considerations for learners and designers have a prominent place in the integrated design and development of sustainable, smarter products throughout the total system lifecycle. Social networks blend self-directed learning and prescribed, existing information. The self-directed element creates interest within a learner and the ability to access existing information facilitates its transfer, and eventual retention of knowledge acquired.

Which recommender system can best fit social learning platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on

Which Recommender System Can Best Fit Social Learning Platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

This study aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to

Extending Network Analysis with Social Inclusions: A Chinese Entrepreneur Building Social Capital

NARCIS (Netherlands)

Peverelli, P.J.; Song, L.J.W.

2011-01-01

Social network analysis is a highly useful tool to study the way individuals form alliances to cope with their daily tasks on the micro-level. We can map the interaction between the key persons involved into a graph, representing the social network. The result is then a snapshot of who interacts

Visual analytics for multimodal social network analysis: a design study with social scientists.

Science.gov (United States)

Ghani, Sohaib; Kwon, Bum Chul; Lee, Seungyoon; Yi, Ji Soo; Elmqvist, Niklas

2013-12-01

Social network analysis (SNA) is becoming increasingly concerned not only with actors and their relations, but also with distinguishing between different types of such entities. For example, social scientists may want to investigate asymmetric relations in organizations with strict chains of command, or incorporate non-actors such as conferences and projects when analyzing coauthorship patterns. Multimodal social networks are those where actors and relations belong to different types, or modes, and multimodal social network analysis (mSNA) is accordingly SNA for such networks. In this paper, we present a design study that we conducted with several social scientist collaborators on how to support mSNA using visual analytics tools. Based on an openended, formative design process, we devised a visual representation called parallel node-link bands (PNLBs) that splits modes into separate bands and renders connections between adjacent ones, similar to the list view in Jigsaw. We then used the tool in a qualitative evaluation involving five social scientists whose feedback informed a second design phase that incorporated additional network metrics. Finally, we conducted a second qualitative evaluation with our social scientist collaborators that provided further insights on the utility of the PNLBs representation and the potential of visual analytics for mSNA.

Characterizing Social Interaction in Tobacco-Oriented Social Networks: An Empirical Analysis.

Science.gov (United States)

Liang, Yunji; Zheng, Xiaolong; Zeng, Daniel Dajun; Zhou, Xingshe; Leischow, Scott James; Chung, Wingyan

2015-06-19

Social media is becoming a new battlefield for tobacco "wars". Evaluating the current situation is very crucial for the advocacy of tobacco control in the age of social media. To reveal the impact of tobacco-related user-generated content, this paper characterizes user interaction and social influence utilizing social network analysis and information theoretic approaches. Our empirical studies demonstrate that the exploding pro-tobacco content has long-lasting effects with more active users and broader influence, and reveal the shortage of social media resources in global tobacco control. It is found that the user interaction in the pro-tobacco group is more active, and user-generated content for tobacco promotion is more successful in obtaining user attention. Furthermore, we construct three tobacco-related social networks and investigate the topological patterns of these tobacco-related social networks. We find that the size of the pro-tobacco network overwhelms the others, which suggests a huge number of users are exposed to the pro-tobacco content. These results indicate that the gap between tobacco promotion and tobacco control is widening and tobacco control may be losing ground to tobacco promotion in social media.

Social and ethical analysis in health technology assessment.

Science.gov (United States)

Tantivess, Sripen

2014-05-01

This paper presents a review of the domestic and international literature on the assessment of the social and ethical implications of health technologies. It gives an overview of the key concepts, principles, and approaches that should be taken into account when conducting a social and ethical analysis within health technology assessment (HTA). Although there is growing consensus among healthcare experts that the social and ethical ramifications of a given technology should be examined before its adoption, the demand for this kind of analysis among policy-makers around the world, including in Thailand, has so far been lacking. Currently decision-makers mainly base technology adoption decisions using evidence on clinical effectiveness, value for money, and budget impact, while social and ethical aspects have been neglected. Despite the recognized importance of considering equity, justice, and social issues when making decisions regarding health resource allocation, the absence of internationally-accepted principles and methodologies, among other factors, hinders research in these areas. Given that developing internationally agreed standards takes time, it has been recommended that priority be given to defining processes that are justifiable, transparent, and contestable. A discussion of the current situation in Thailand concerning social and ethical analysis of health technologies is also presented.

A Social Learning Management System Supporting Feedback for Incorrect Answers Based on Social Network Services

Science.gov (United States)

Son, Jiseong; Kim, Jeong-Dong; Na, Hong-Seok; Baik, Doo-Kwon

2016-01-01

In this research, we propose a Social Learning Management System (SLMS) enabling real-time and reliable feedback for incorrect answers by learners using a social network service (SNS). The proposed system increases the accuracy of learners' assessment results by using a confidence scale and a variety of social feedback that is created and shared…

Actionable Capability for Social and Economic Systems (ACSES)

Energy Technology Data Exchange (ETDEWEB)

Fernandez, Steven J [ORNL; Brecke, Peter K [ORNL; Carmichael, Theodore D [ORNL; Eichelberger, Christopher N [ORNL; Ganguly, Auroop R [ORNL; Hadzikadic, Mirsad [ORNL; Jiao, Yu [ORNL; Khouja, Moutaz J [ORNL; McLean, Angus L [ORNL; Middleton, Erin J [ORNL; Omitaomu, Olufemi A [ORNL; Saric, Amar [University of North Carolina, Charlotte; Sun, Min [University of North Carolina, Charlotte; Whitmeyer, Joseph M [ORNL; Gilman, Paul [ORNL; O' Maonaigh, Heather C [ORNL

2008-05-01

The foundation of the Actionable Capability for Social and Economic Systems (ACSES) project is a useful regional-scale social-simulation system. This report is organized into five chapters that describe insights that were gained concerning the five key feasibility questions pertaining to such a system: (1) Should such a simulation system exist, would the current state of data sets or collectible data sets be adequate to support such a system? (2) By comparing different agent-based simulation systems, is it feasible to compare simulation systems and select one appropriate for a given application with agents behaving according to modern social theory rather than ad hoc rule sets? (3) Provided that a selected simulation system for a region of interest could be constructed, can the simulation system be updated with new and changing conditions so that the universe of potential outcomes are constrained by events on the ground as they evolve? (4) As these results are constrained by evolving events on the ground, is it feasible to still generate surprise and emerging behavior to suggest outcomes from novel courses of action? (5) As these systems may for the first time require large numbers (hundreds of millions) of agents operating with complexities demanded of modern social theories, can results still be generated within actionable decision cycles?

Looking beyond - socialization tactics : The role of human resource systems in the socialization process

NARCIS (Netherlands)

Batistic, S.

2018-01-01

Previous research questions whether the association between socialization tactics and human resource systems has been properly explored. Based on theory, we present a framework that links socialization tactics and human resource systems for various groups of newcomers. In doing so, we contribute to

The distortion of social identity structure as a result of social exclusion

OpenAIRE

Suvorova I.Yu.

2016-01-01

The article describes the mechanism of human’s interaction with social system through the analysis of its distortion as a result of social exclusion. It was assumed that the impossibility to satisfy basic social needs destroys symbolic links between an individual and a social system. It causes the distortion of the structure of social identity and control over social reality. Third year students of Ecological faculty of People’s Friendship University of Rus- sia participated in the experiment...

Exploratory social network analysis with Pajek. - 2nd ed.

NARCIS (Netherlands)

de Nooy, W.; Mrvar, A.; Batagelj, V.

2011-01-01

This is an extensively revised and expanded second edition of the successful textbook on social network analysis integrating theory, applications, and network analysis using Pajek. The main structural concepts and their applications in social research are introduced with exercises. Pajek software

Anatomical differences in the mirror neuron system and social cognition network in autism.

Science.gov (United States)

Hadjikhani, Nouchine; Joseph, Robert M; Snyder, Josh; Tager-Flusberg, Helen

2006-09-01

Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with impaired social and emotional skills, the anatomical substrate of which is still unknown. In this study, we compared a group of 14 high-functioning ASD adults with a group of controls matched for sex, age, intelligence quotient, and handedness. We used an automated technique of analysis that accurately measures the thickness of the cerebral cortex and generates cross-subject statistics in a coordinate system based on cortical anatomy. We found local decreases of gray matter in the ASD group in areas belonging to the mirror neuron system (MNS), argued to be the basis of empathic behavior. Cortical thinning of the MNS was correlated with ASD symptom severity. Cortical thinning was also observed in areas involved in emotion recognition and social cognition. These findings suggest that the social and emotional deficits characteristic of autism may reflect abnormal thinning of the MNS and the broader network of cortical areas subserving social cognition.

Recommender systems and the social web leveraging tagging data for recommender systems

CERN Document Server

Gedikli, Fatih

2013-01-01

There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the user, one can learn the user's individual preferences from the Social Web. This opens up completely new opportunities and challenges for recommender systems research. Fatih Gedikli deals with the question of

Developing interprofessional education online: An ecological systems theory analysis.

Science.gov (United States)

Bluteau, Patricia; Clouder, Lynn; Cureton, Debra

2017-07-01

This article relates the findings of a discourse analysis of an online asynchronous interprofessional learning initiative involving two UK universities. The impact of the initiative is traced over three intensive periods of online interaction, each of several-weeks duration occurring over a three-year period, through an analysis of a random sample of discussion forum threads. The corpus of rich data drawn from the forums is interpreted using ecological systems theory, which highlights the complexity of interaction of individual, social and cultural elements. Ecological systems theory adopts a life course approach to understand how development occurs through processes of progressively more complex reciprocal interaction between people and their environment. This lens provides a novel approach for analysis and interpretation of findings with respect to the impact of pre-registration interprofessional education and the interaction between the individual and their social and cultural contexts as they progress through 3/4 years of their programmes. Development is mapped over time (the chronosystem) to highlight the complexity of interaction across microsystems (individual), mesosystems (curriculum and institutional/care settings), exosystems (community/wider local context), and macrosystems (national context and culture). This article illustrates the intricacies of students' interprofessional development over time and the interactive effects of social ecological components in terms of professional knowledge and understanding, wider appreciation of health and social care culture and identity work. The implications for contemporary pre-registration interprofessional education and the usefulness and applicability of ecological systems theory for future research and development are considered.

Sense-making for intelligence analysis on social media data

Science.gov (United States)

Pritzkau, Albert

2016-05-01

Social networks, in particular online social networks as a subset, enable the analysis of social relationships which are represented by interaction, collaboration, or other sorts of influence between people. Any set of people and their internal social relationships can be modelled as a general social graph. These relationships are formed by exchanging emails, making phone calls, or carrying out a range of other activities that build up the network. This paper presents an overview of current approaches to utilizing social media as a ubiquitous sensor network in the context of national and global security. Exploitation of social media is usually an interdisciplinary endeavour, in which the relevant technologies and methods are identified and linked in order ultimately demonstrate selected applications. Effective and efficient intelligence is usually accomplished in a combined human and computer effort. Indeed, the intelligence process heavily depends on combining a human's flexibility, creativity, and cognitive ability with the bandwidth and processing power of today's computers. To improve the usability and accuracy of the intelligence analysis we will have to rely on data-processing tools at the level of natural language. Especially the collection and transformation of unstructured data into actionable, structured data requires scalable computational algorithms ranging from Artificial Intelligence, via Machine Learning, to Natural Language Processing (NLP). To support intelligence analysis on social media data, social media analytics is concerned with developing and evaluating computational tools and frameworks to collect, monitor, analyze, summarize, and visualize social media data. Analytics methods are employed to extract of significant patterns that might not be obvious. As a result, different data representations rendering distinct aspects of content and interactions serve as a means to adapt the focus of the intelligence analysis to specific information

A participatory systems approach to modeling social, economic, and ecological components of bioenergy

International Nuclear Information System (INIS)

Buchholz, Thomas S.; Volk, Timothy A.; Luzadis, Valerie A.

2007-01-01

Availability of and access to useful energy is a crucial factor for maintaining and improving human well-being. Looming scarcities and increasing awareness of environmental, economic, and social impacts of conventional sources of non-renewable energy have focused attention on renewable energy sources, including biomass. The complex interactions of social, economic, and ecological factors among the bioenergy system components of feedstock supply, conversion technology, and energy allocation have been a major obstacle to the broader development of bioenergy systems. For widespread implementation of bioenergy to occur there is a need for an integrated approach to model the social, economic, and ecological interactions associated with bioenergy. Such models can serve as a planning and evaluation tool to help decide when, where, and how bioenergy systems can contribute to development. One approach to integrated modeling is by assessing the sustainability of a bioenergy system. The evolving nature of sustainability can be described by an adaptive systems approach using general systems principles. Discussing these principles reveals that participation of stakeholders in all components of a bioenergy system is a crucial factor for sustainability. Multi-criteria analysis (MCA) is an effective tool to implement this approach. This approach would enable decision-makers to evaluate bioenergy systems for sustainability in a participatory, transparent, timely, and informed manner

Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory.

Science.gov (United States)

Cumming, Graeme S; Allen, Craig R

2017-09-01

Conservation biology and applied ecology increasingly recognize that natural resource management is both an outcome and a driver of social, economic, and ecological dynamics. Protected areas offer a fundamental approach to conserving ecosystems, but they are also social-ecological systems whose ecological management and sustainability are heavily influenced by people. This editorial, and the papers in the invited feature that it introduces, discuss three emerging themes in social-ecological systems approaches to understanding protected areas: (1) the resilience and sustainability of protected areas, including analyses of their internal dynamics, their effectiveness, and the resilience of the landscapes within which they occur; (2) the relevance of spatial context and scale for protected areas, including such factors as geographic connectivity, context, exchanges between protected areas and their surrounding landscapes, and scale dependency in the provision of ecosystem services; and (3) efforts to reframe what protected areas are and how they both define and are defined by the relationships of people and nature. These emerging themes have the potential to transform management and policy approaches for protected areas and have important implications for conservation, in both theory and practice. © 2017 by the Ecological Society of America.

Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory

Science.gov (United States)

Cumming, Graeme S.; Allen, Craig R.

2017-01-01

Conservation biology and applied ecology increasingly recognize that natural resource management is both an outcome and a driver of social, economic, and ecological dynamics. Protected areas offer a fundamental approach to conserving ecosystems, but they are also social-ecological systems whose ecological management and sustainability are heavily influenced by people. This editorial, and the papers in the invited feature that it introduces, discuss three emerging themes in social-ecological systems approaches to understanding protected areas: (1) the resilience and sustainability of protected areas, including analyses of their internal dynamics, their effectiveness, and the resilience of the landscapes within which they occur; (2) the relevance of spatial context and scale for protected areas, including such factors as geographic connectivity, context, exchanges between protected areas and their surrounding landscapes, and scale dependency in the provision of ecosystem services; and (3) efforts to reframe what protected areas are and how they both define and are defined by the relationships of people and nature. These emerging themes have the potential to transform management and policy approaches for protected areas and have important implications for conservation, in both theory and practice.

Social Problem Solving and Depressive Symptoms Over Time: A Randomized Clinical Trial of Cognitive Behavioral Analysis System of Psychotherapy, Brief Supportive Psychotherapy, and Pharmacotherapy

Science.gov (United States)

Klein, Daniel N.; Leon, Andrew C.; Li, Chunshan; D’Zurilla, Thomas J.; Black, Sarah R.; Vivian, Dina; Dowling, Frank; Arnow, Bruce A.; Manber, Rachel; Markowitz, John C.; Kocsis, James H.

2011-01-01

Objective Depression is associated with poor social problem-solving, and psychotherapies that focus on problem-solving skills are efficacious in treating depression. We examined the associations between treatment, social problem solving, and depression in a randomized clinical trial testing the efficacy of psychotherapy augmentation for chronically depressed patients who failed to fully respond to an initial trial of pharmacotherapy (Kocsis et al., 2009). Method Participants with chronic depression (n = 491) received Cognitive Behavioral Analysis System of Psychotherapy (CBASP), which emphasizes interpersonal problem-solving, plus medication; Brief Supportive Psychotherapy (BSP) plus medication; or medication alone for 12 weeks. Results CBASP plus pharmacotherapy was associated with significantly greater improvement in social problem solving than BSP plus pharmacotherapy, and a trend for greater improvement in problem solving than pharmacotherapy alone. In addition, change in social problem solving predicted subsequent change in depressive symptoms over time. However, the magnitude of the associations between changes in social problem solving and subsequent depressive symptoms did not differ across treatment conditions. Conclusions It does not appear that improved social problem solving is a mechanism that uniquely distinguishes CBASP from other treatment approaches. PMID:21500885

Social instability and immunity in rhesus monkeys: the role of the sympathetic nervous system.

Science.gov (United States)

Capitanio, John P; Cole, Steven W

2015-05-26

Social instability can adversely affect endocrine, immune and health outcomes, and recent evidence suggests that the sympathetic nervous system (SNS) might mediate these effects. We conducted two studies with adult male rhesus monkeys (Macaca mulatta) to understand how social conditions affect measures of SNS activity and immune function. In Experiment 1, animals were socialized in stable social conditions, then were switched to unstable (stressful) social conditions, then were returned to stable conditions. Analysis revealed quadratic effects for measures of behaviour, urinary metabolites of epinephrine and norepinephrine, and expression of immune response genes: as expected, social instability adversely impacted most measures, and the effects remediated upon re-imposition of stable conditions. Cortisol levels were unaffected. In Experiment 2, we used the sympathomimetic drug methamphetamine to challenge the SNS; animals also underwent socialization in stable or unstable groups. Surprisingly, while methamphetamine elevated plasma catecholamines, responses in lymph nodes tracked the social, and not the drug, condition: social instability upregulated the density of SNS fibres in lymph nodes and downregulated Type I interferon gene expression. Together, these results indicate that the SNS is extremely sensitive to social conditions; full understanding of the adverse effects of social instability on health should therefore incorporate measures of this health-relevant system. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Some Issues in connection with the Improvement of the Social Accounting Systems of Developing Countries

NARCIS (Netherlands)

J.J.P. van Heemst (Jan)

1979-01-01

textabstractThere is growing awareness nowadays that the social accounting systems of developing countries are generally inadequate for purposes of analysis and planning. This inadequacy relates to the quality of the data contained in the systems as well as to their structure. The quality is

Modelling social vulnerability in sub-Saharan West Africa using a geographical information system

Directory of Open Access Journals (Sweden)

Olanrewaju Lawal

2015-05-01

Full Text Available In recent times, disasters and risk management have gained significant attention, especially with increasing awareness of the risks and increasing impact of natural and other hazards especially in the developing world. Vulnerability, the potential for loss of life or property from disaster, has biophysical or social dimensions. Social vulnerability relates to societal attributes which has negative impacts on disaster outcomes. This study sought to develop a spatially explicit index of social vulnerability, thus addressing the dearth of research in this area in sub-Saharan Africa. Nineteen variables were identified covering various aspects. Descriptive analysis of these variables revealed high heterogeneity across the South West region of Nigeria for both the state and the local government areas (LGAs. Feature identification using correlation analysis identified six important variables. Factor analysis identified two dimensions, namely accessibility and socioeconomic conditions, from this subset. A social vulnerability index (SoVI showed that Ondo and Ekiti have more vulnerable LGAs than other states in the region. About 50% of the LGAs in Osun and Ogun have a relatively low social vulnerability. Distribution of the SoVI shows that there are great differences within states as well as across regions. Scores of population density, disability and poverty have a high margin of error in relation to mean state scores. The study showed that with a geographical information system there are opportunities to model social vulnerability and monitor its evolution and dynamics across the continent.

Assortment and the analysis of natural selection on social traits.

Science.gov (United States)

McDonald, Grant C; Farine, Damien R; Foster, Kevin R; Biernaskie, Jay M

2017-11-01

A central problem in evolutionary biology is to determine whether and how social interactions contribute to natural selection. A key method for phenotypic data is social selection analysis, in which fitness effects from social partners contribute to selection only when there is a correlation between the traits of individuals and their social partners (nonrandom phenotypic assortment). However, there are inconsistencies in the use of social selection that center around the measurement of phenotypic assortment. Here, we use data analysis and simulations to resolve these inconsistencies, showing that: (i) not all measures of assortment are suitable for social selection analysis; and (ii) the interpretation of assortment, and how to detect nonrandom assortment, will depend on the scale at which it is measured. We discuss links to kin selection theory and provide a practical guide for the social selection approach. © 2017 The Author(s). Evolution © 2017 The Society for the Study of Evolution.

Characteristic and analysis of structural elements of corporate social responsibility

Directory of Open Access Journals (Sweden)

J. S. Bilonog

2015-04-01

Full Text Available In this article attention is focused on social responsibility of business and on necessity to estimate its condition in Ukraine. Materials regarding elements and the principles of corporate social responsibility are structured. On this basis unification of quantitative elements of business social responsibility is offered according to which it is possible to carry out the analysis of the non­financial reporting. It is proposed to use not only quantitative techniques of data analysis but also refer to the qualitative ones. As a result of this, the analysis of social reports will be more productive and would minimize subjectivity of the researcher or representatives of the company which are responsible for presenting the information to the general public. The basic principles by which the companies can realize the strategy of corporate social responsibility are considered. Due to the empirical analysis of corporate reports expediency to use specified elements is proved. Reports of the companies in producing and non­productive sector are analyzed in more detail; features of displaying information on corporate social responsibility are defined. The attention to need of carrying out monitoring researches in the sphere of the corporate social reporting is updated.

Egocentric Social Network Analysis of Pathological Gambling

Science.gov (United States)

Meisel, Matthew K.; Clifton, Allan D.; MacKillop, James; Miller, Joshua D.; Campbell, W. Keith; Goodie, Adam S.

2012-01-01

Aims To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family, and co-workers. is an innovative way to look at relationships among individuals; the current study was the first to our knowledge to apply SNA to gambling behaviors. Design Egocentric social network analysis was used to formally characterize the relationships between social network characteristics and gambling pathology. Setting Laboratory-based questionnaire and interview administration. Participants Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. Findings The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers, and drinkers in their social networks than did nonpathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked, and drank with than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked, and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Conclusions Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers, and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. PMID:23072641

Egocentric social network analysis of pathological gambling.

Science.gov (United States)

Meisel, Matthew K; Clifton, Allan D; Mackillop, James; Miller, Joshua D; Campbell, W Keith; Goodie, Adam S

2013-03-01

To apply social network analysis (SNA) to investigate whether frequency and severity of gambling problems were associated with different network characteristics among friends, family and co-workers is an innovative way to look at relationships among individuals; the current study was the first, to our knowledge, to apply SNA to gambling behaviors. Egocentric social network analysis was used to characterize formally the relationships between social network characteristics and gambling pathology. Laboratory-based questionnaire and interview administration. Forty frequent gamblers (22 non-pathological gamblers, 18 pathological gamblers) were recruited from the community. The SNA revealed significant social network compositional differences between the two groups: pathological gamblers (PGs) had more gamblers, smokers and drinkers in their social networks than did non-pathological gamblers (NPGs). PGs had more individuals in their network with whom they personally gambled, smoked and drank than those with who were NPG. Network ties were closer to individuals in their networks who gambled, smoked and drank more frequently. Associations between gambling severity and structural network characteristics were not significant. Pathological gambling is associated with compositional but not structural differences in social networks. Pathological gamblers differ from non-pathological gamblers in the number of gamblers, smokers and drinkers in their social networks. Homophily within the networks also indicates that gamblers tend to be closer with other gamblers. This homophily may serve to reinforce addictive behaviors, and may suggest avenues for future study or intervention. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

Social Analysis in Development Interventions: Policy Artefact or Constructive Transformation?

Directory of Open Access Journals (Sweden)

SUSANNA PRICE

2012-02-01

Full Text Available Recently attention has focused on the role of social researchers in the processes of construction and transmission of knowledge about global poverty and its reduction. This paper examines some of the formative efforts by pioneering social researchers in development institutions to step into the realm of policy making to construct processes for project preparation and management through social analysis. Before 1970 development planners invoked ‘social' or ‘human' factors only as an excuse to explain away project failures - they designed and implemented development projects in the absence of any strategies or regulatory frameworks for managing their social impacts. Recognizing that project investments represent induced change and constitute a social process in themselves, pioneering social researchers constructed policies and procedures to introduce sociological content and method into the project cycle and so re-order social outcomes. Were such constructs merely policy artefacts? Even as the constructs helped to shift the statements of the development discourse towards ‘people oriented' poverty reduction, new modalities appeared which tested the limits of the agreed methods. Institutions may forget, neglect, contest or re-write the documents if in perceived conflict with the institutional ‘core business'. Yet those pioneering efforts created institutional space for, and understanding of, social analysis, with a measure of flow-on international recognition. Tracking social analysis in several international institutions and in a significant emerging economy, China, this paper highlights not only a history full of lessons to be learned where social analysis is not practiced systematically but also outlines some future challenges.

Discriminant analysis of Social Work’s performance in licensure examination

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Jonel R. Alonzo

2017-12-01

Full Text Available Many research studies have examined academic factors as predictors of success in licensure examination. The purpose of this descriptive discriminant analysis was to explore possible factors in passing social work licensure examination. Data were examined from academic records of 69 (37 passed and 32 failed Social Work graduates of the University of Mindanao who took Social Work Licensure Examination 2014. This can be used as a basis of Social Work program in planning and administering strategies to improve its national passing rates. Discriminant analysis was employed along five academic factors which are Human Behavior and Social Environment (HBSE, Social Work Programs and Policies (SWPP, Social Work Methods (SWM, Field Practice (FP and Grade Point Average (GPA. The analysis generated three significant predictors accounting for 76.22% of between group variability. The function had a hit ratio of 100%. Structure matrix revealed that three cluster subjects were identified as good factors of passing the social work licensure examination: HBSE, SWPP and SWM had a correlation value of 0.713, 0.768 and 0.840, respectively.

Using a social-ecological systems perspective to understand tourism and landscape interactions in coastal areas

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Jasper Hessel Heslinga

2017-04-01

Full Text Available Purpose – The purpose of this paper is to look at the potential synergies between tourism and landscapes and examine the potential contribution of tourism to build social-ecological resilience in the Dutch Wadden. Design/methodology/approach – The authors reveal how a social-ecological systems perspective can be used to conceptualize the Wadden as a coupled and dynamic system. This paper is a conceptual analysis that applies this approach to the Dutch Wadden. The data used for the inquiry primarily comes from a literature review. Findings – The authors argue that the social-ecological systems perspective is a useful approach and could be used to improve the governance of multi-functional socio-ecological systems in coastal areas. Opportunities for synergies between tourism and landscapes have been overlooked. The authors consider that tourism and nature protection are potentially compatible and that the synergies should be identified. Research limitations/implications – This paper is only a conceptual application rather than an empirical case study. Further research to actually apply the methodology is needed. Practical implications – Managers of protected areas should consider applying a social-ecological systems approach. Social implications – The views of a wide variety of stakeholders should be considered in landscape planning. Originality/value – The value of this paper lies in the articulation of the social-ecological systems perspective as a way to identify and understand the complex interactions between tourism and landscape, and the potential synergies between them.

Predicting the behavior of techno-social systems.

Science.gov (United States)

Vespignani, Alessandro

2009-07-24

We live in an increasingly interconnected world of techno-social systems, in which infrastructures composed of different technological layers are interoperating within the social component that drives their use and development. Examples are provided by the Internet, the World Wide Web, WiFi communication technologies, and transportation and mobility infrastructures. The multiscale nature and complexity of these networks are crucial features in understanding and managing the networks. The accessibility of new data and the advances in the theory and modeling of complex networks are providing an integrated framework that brings us closer to achieving true predictive power of the behavior of techno-social systems.

Using Social Media Sentiment Analysis to Understand Audiences

DEFF Research Database (Denmark)

McGuire, Mark; Kampf, Constance Elizabeth

2015-01-01

approach for contextually understanding social media posts. The human interaction step in ad-hoc corpus analysis is central to this methodology as it provides a means to ask critical questions of the content curated through the ad-hoc corpus directly. Results of ad-hoc corpus analysis from this critical......Social media communication is changing the opportunities for technical communicators to really understand audiences when these audiences are active about issues on social media platforms. Through applying ad-hoc corpus building processes to create word lists relevant to specific organizational...... projects, technical communicators can listen to their external users and identify areas of importance with greater accuracy. While other methods of sentiment analysis look for a solution that leads to artificial intelligence in the program, this paper identifies the present needs of a human interaction...

Assessing social isolation in motor neurone disease: a Rasch analysis of the MND Social Withdrawal Scale.

Science.gov (United States)

Gibbons, Chris J; Thornton, Everard W; Ealing, John; Shaw, Pamela J; Talbot, Kevin; Tennant, Alan; Young, Carolyn A

2013-11-15

Social withdrawal is described as the condition in which an individual experiences a desire to make social contact, but is unable to satisfy that desire. It is an important issue for patients with motor neurone disease who are likely to experience severe physical impairment. This study aims to reassess the psychometric and scaling properties of the MND Social Withdrawal Scale (MND-SWS) domains and examine the feasibility of a summary scale, by applying scale data to the Rasch model. The MND Social Withdrawal Scale was administered to 298 patients with a diagnosis of MND, alongside the Hospital Anxiety and Depression Scale. The factor structure of the MND Social Withdrawal Scale was assessed using confirmatory factor analysis. Model fit, category threshold analysis, differential item functioning (DIF), dimensionality and local dependency were evaluated. Factor analysis confirmed the suitability of the four-factor solution suggested by the original authors. Mokken scale analysis suggested the removal of item five. Rasch analysis removed a further three items; from the Community (one item) and Emotional (two items) withdrawal subscales. Following item reduction, each scale exhibited excellent fit to the Rasch model. A 14-item Summary scale was shown to fit the Rasch model after subtesting the items into three subtests corresponding to the Community, Family and Emotional subscales, indicating that items from these three subscales could be summed together to create a total measure for social withdrawal. Removal of four items from the Social Withdrawal Scale led to a four factor solution with a 14-item hierarchical Summary scale that were all unidimensional, free for DIF and well fitted to the Rasch model. The scale is reliable and allows clinicians and researchers to measure social withdrawal in MND along a unidimensional construct. © 2013. Published by Elsevier B.V. All rights reserved.

Designing for Social Infrastructures in Complex Service Systems: A Human-Centered and Social Systems Perspective on Service Design

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Mieke van der Bijl-Brouwer

Full Text Available Service design is one of the keys to improving how we target today’s complex societal problems. The predominant view of service systems is mechanistic and linear. A service infrastructure—which includes solutions like service blueprints, scripts, and protocols—is, in some ways, designed to control the behavior of service professionals at the service interface. This view undermines the intrinsic motivation, expertise, and creativity of service professionals. This article presents a different perspective on service design. Using theories of social systems and complex responsive processes, I define service organizations as ongoing iterated patterns of relationships between people, and identify them as complex social service systems. I go on to show how the human-centeredness of design practices contributes to designing for such service systems. In particular, I show how a deep understanding of the needs and aspirations of service professionals through phenomenological themes contributes to designing for social infrastructures that support continuous improvement and adaptation of the practices executed by service professionals at the service interface.

Enhancing the Resilience of Human-Environment Systems: a Social Ecological Perspective

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Daniel Stokols

2013-03-01

Full Text Available Resilience studies build on the notion that phenomena in the real world should be understood as dynamic social-ecological systems. However, the scholarly community may not be fully aware that social ecology, as a conceptual framework, has a long intellectual history, nor fully cognizant of its foundational theory. In this article, we trace the intellectual roots and core principles of social ecology and demonstrate how these principles enable a broader conceptualization of resilience than may be found in much of the literature. We then illustrate how the resulting notion of resilience as transactional process and multi-capital formation affords new perspectives on diverse phenomena such as global financial crises and adaptation to environmental stresses to communities and ecosystems. A social-ecological analysis of resilience enables the study of people-environment transactions across varying dimensions, time periods, and scales. Furthermore, in its openness to experiential knowledge and action research, the social ecology framework coheres well with participative-collaborative modes of inquiry, which traverse institutional, epistemological, and scale-related boundaries.

Private personalized social recommendations in an IPTV system

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Elmisery, Ahmed M.

2014-04-01

In our connected world, recommender systems have become widely known for their ability to provide expert and personalize referrals to end-users in different domains. The rapid growth of social networks and new kinds of systems so called "social recommender systems" are rising, where recommender systems can be utilized to find a suitable content according to end-users' personal preferences. However, preserving end-users' privacy in social recommender systems is a very challenging problem that might prevent end-users from releasing their own data, which detains the accuracy of extracted referrals. In order to gain accurate referrals, social recommender systems should have the ability to preserve the privacy of end-users registered in this system. In this paper, we present a middleware that runs on end-users' Set-top boxes to conceal their profile data when released for generating referrals, such that computation of recommendation proceeds over the concealed data. The proposed middleware is equipped with two concealment protocols to give users a complete control on the privacy level of their profiles. We present an IPTV network scenario and perform a number of different experiments to test the efficiency and accuracy of our protocols. As supported by the experiments, our protocols maintain the recommendations accuracy with acceptable privacy level.

A Systematic Review of Group Social Skills Interventions, and Meta-analysis of Outcomes, for Children with High Functioning ASD.

Science.gov (United States)

Wolstencroft, J; Robinson, L; Srinivasan, R; Kerry, E; Mandy, W; Skuse, D

2018-07-01

Group social skills interventions (GSSIs) are a commonly offered treatment for children with high functioning ASD. We critically evaluated GSSI randomised controlled trials for those aged 6-25 years. Our meta-analysis of outcomes emphasised internal validity, thus was restricted to trials that used the parent-report social responsiveness scale (SRS) or the social skills rating system (SSRS). Large positive effect sizes were found for the SRS total score, plus the social communication and restricted interests and repetitive behaviours subscales. The SSRS social skills subscale improved with moderate effect size. Moderator analysis of the SRS showed that GSSIs that include parent-groups, and are of greater duration or intensity, obtained larger effect sizes. We recommend future trials distinguish gains in children's social knowledge from social performance.

Sensitivity analysis for contagion effects in social networks

Science.gov (United States)

VanderWeele, Tyler J.

2014-01-01

Analyses of social network data have suggested that obesity, smoking, happiness and loneliness all travel through social networks. Individuals exert “contagion effects” on one another through social ties and association. These analyses have come under critique because of the possibility that homophily from unmeasured factors may explain these statistical associations and because similar findings can be obtained when the same methodology is applied to height, acne and head-aches, for which the conclusion of contagion effects seems somewhat less plausible. We use sensitivity analysis techniques to assess the extent to which supposed contagion effects for obesity, smoking, happiness and loneliness might be explained away by homophily or confounding and the extent to which the critique using analysis of data on height, acne and head-aches is relevant. Sensitivity analyses suggest that contagion effects for obesity and smoking cessation are reasonably robust to possible latent homophily or environmental confounding; those for happiness and loneliness are somewhat less so. Supposed effects for height, acne and head-aches are all easily explained away by latent homophily and confounding. The methodology that has been employed in past studies for contagion effects in social networks, when used in conjunction with sensitivity analysis, may prove useful in establishing social influence for various behaviors and states. The sensitivity analysis approach can be used to address the critique of latent homophily as a possible explanation of associations interpreted as contagion effects. PMID:25580037

Statistical Support for Analysis of the Social Stratification and Economic Inequality of the Country’s Population

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Aksyonova Irina V.

2017-12-01

Full Text Available The aim of the article is to summarize the theoretical and methodological as well as information and analytical support for statistical research of economic and social stratification in society and conduct an analysis of the differentiation of the population of Ukraine in terms of the economic component of social inequality. The theoretical and methodological level of the research is studied, and criteria for social stratification and inequalities in society, systems, models and theories of social stratification of the population are singled out. The indicators of social and economic statistics regarding the differentiation of the population by income level are considered as the research tools. As a result of the analysis it was concluded that the economic inequality of the population leads to changes in the social structure, which requires formation of a new social stratification of society. The basis of social stratification is indicators of the population well-being, which require a comprehensive study. Prospects for further research in this area are the analysis of the components of economic inequality that determine and influence the social stratification of the population of the country, the formation of the middle class, and the study of the components of the human development index as a cross-currency indicator of the socio-economic inequality of the population.

TERESA: a socially intelligent semi-autonomous telepresence system

NARCIS (Netherlands)

Shiarlis, Kyriacos; Messias, Joao; van Someren, Maarten; Whiteson, Shimon; Kim, Jaebok; Vroon, Jered Hendrik; Englebienne, Gwenn; Truong, Khiet Phuong; Pérez-Higueras, Noé; Pérez-Hurtado, Ignacio; Ramon-Vigo, Rafael; Caballero, Fernando; Merino, Luis; Shen, Jie; Petridis, Stavros; Pantic, Maja; Hedman, Lasse; Scherlund, Marten; Koster, Raphaël; Michel, Hervé

2015-01-01

TERESA is a socially intelligent semi-autonomous telepresence system that is currently being developed as part of an FP7-STREP project funded by the European Union. The ultimate goal of the project is to deploy this system in an elderly day centre to allow elderly people to participate in social

The Social System in Outdoor Adventure Education Programs

Science.gov (United States)

Sibthorp, Jim; Jostad, Jeremy

2014-01-01

Many components of the social system interact with one another to produce group-level behavior that determines the functionality of the small group in outdoor adventure education (OAE). This article synthesizes the contemporary literature and theory regarding eight aspects of the OAE social system: (a) Macro Contextual Factors, (b) Student…

Social Signals, their function, and automatic analysis: A survey

NARCIS (Netherlands)

Vinciarelli, Alessandro; Pantic, Maja; Bourlard, Hervé; Pentland, Alex

2008-01-01

Social Signal Processing (SSP) aims at the analysis of social behaviour in both Human-Human and Human-Computer interactions. SSP revolves around automatic sensing and interpretation of social signals, complex aggregates of nonverbal behaviours through which individuals express their attitudes

Issues of Formation and Use of Financial Resources of the Social Welfare System (Case Study of the Komi Republic

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Valentina Valentinovna Tikhomirova

2016-11-01

for improving the economic mechanism and organizational forms of management for the social welfare system, they are: targeted allocation of financial resources only to those households whose actual consumption is below the subsistence level. The author proposes to improve the funding of the social welfare system with the help of intergovernmental equalization. This work is based theoretically and methodologically on theories and practices of prominent Russian and foreign economists, sociologists and other scholars and professionals engaged in research in the field of social protection, data of the Federal State Statistics Service of Russia, its Territorial Office in the Komi Republic, and legislative and regulatory acts of the Russian Federation and the Republic of Komi. The study uses general scientific methods of system approach, analysis and synthesis, logical, historical and comparative analysis

Recommender Systems for the Social Web

CERN Document Server

Pazos Arias, José J; Díaz Redondo, Rebeca P

2012-01-01

The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web...

The role of social learning for social-ecological systems in Korean village groves restoration

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Eunju Lee

2015-03-01

Full Text Available Recently, social learning has been recognized as a means to foster adaptation to changing conditions, and more broadly, social-ecological systems resilience. However, the discussion of social learning and social-ecological resilience in different cultural contexts is limited. In this study we introduce the Korean Village Groves Restoration Project (VGRP through the lens of social learning, and discuss implications of the VGRP for resilience in villages impacted by industrialization and decline of traditional forest resources. We conducted open-ended interviews with VGRP leaders, government and NGO officials, and residents in four villages in South Korea, and found that villages responded to ecosystem change in ways that could be explained by the characteristics of social learning including interaction, integration, systems orientation, and reflection. However, the processes of learning varied among the four villages, and were associated with different levels of learning and different learning outcomes related to changes in village grove management and governance. The cultural and historical context can be used to help understand social learning processes and their outcomes in the Korean cases.

Social, economic, political and health system and program determinants of child mortality reduction in China between 1990 and 2006: A systematic analysis.

Science.gov (United States)

Feng, Xing Lin; Theodoratou, Evropi; Liu, Li; Chan, Kit Yee; Hipgrave, David; Scherpbier, Robert; Brixi, Hana; Guo, Sufang; Chunmei, Wen; Chopra, Mickey; Black, Robert E; Campbell, Harry; Rudan, Igor; Guo, Yan

2012-06-01

Between 1990 and 2006, China reduced its under-five mortality rate (U5MR) from 64.6 to 20.6 per 1000 live births and achieved the fourth United Nation's Millennium Development Goal nine years ahead of target. This study explores the contribution of social, economic and political determinants, health system and policy determinants, and health programmes and interventions to this success. For each of the years between 1990 and 2006, we obtained an estimate of U5MR for 30 Chinese provinces from the annual China Health Statistics Yearbook. For each year, we also obtained data describing the status of 8 social, 10 economic, 2 political, 9 health system and policy, and six health programmes and intervention indicators for each province. These government data are not of the same quality as some other health information sources in modern China, such as articles with primary research data available in Chinese National Knowledge Infrastructure (CNKI) and Wan Fang databases, or Chinese Maternal and Child Mortality Surveillance system. Still, the comparison of relative changes in underlying indicators with the undisputed strong general trend of childhood mortality reduction over 17 years should still capture the main effects at the macro-level. We used multivariate random effect regression models to determine the effect of 35 indicators individually and 5 constructs defined by factor analysis (reflecting effects of social, economic, political, health systems and policy, and health programmes) on the reduction of U5MR in China. In the univariate regression applied with a one-year time lag, social determinants of health construct showed the strongest crude association with U5MR reduction (R(2) = 0.74), followed by the constructs for health programmes and interventions (R(2) = 0.65), economic (R(2) = 0.47), political (R(2) = 0.28) and health system and policy determinants (R(2) = 0.26), respectively. Similarly, when multivariate regression was applied with a

Social and philosophical analysis of brand clothes : the Ukrainian context

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H. V. Skalatskaya

2016-06-01

Full Text Available The purpose of the article is to consider the prospects of social and philosophical analysis of the product (clothes of fashion brand. In social and philosophical analysis of brand clothes, its fashion shows there is a range of discursive questions: the use and the definition of the concepts «designer» and «brand»; thematic focus of the brand (fabrics, colors, prints, shapes its semantics; format of representation of fashion collection in dependence; and a number of other structural elements. In the analysis of fashion trends or seasonal collections the concepts designer or brand are used. The concept «brand» contains an economic component, certain calculations, and intangible assets (goodwill; design work is subject to market needs and the interests of consumers (for analysis of the individual designer the biographical method is used. Theoretical analysis of fashion cannot be made apart from empirical material. A performative approach of K. Wolfe can be the methodology of the social and philosophical research of fashion show. The advantages of this method of the research are to determine fashion as performative space, staging ideas of the designer in the fashion show and making clothes. Implementation of performative approach allowed considering thematic focus of the brand of clothes and format of its representation in seasonal fashion shows on the example of Ukrainian brand «Domanoff». Social and philosophical analysis of brand clothes can be divided into the following main components, excluding aesthetic and economic aspects: the use of the concepts designer and brand (a set of aesthetic, economic, social and subjective components and design`s view; review of the semantics of clothes and staging (by providing clothes in the form of seasonal fashion shows of collections. For complex social and socio­philosophical analysis of fashion brand it necessary to have: the press release (description, designer`s interview (disclosure of early

Is there contextuality in behavioural and social systems?

Science.gov (United States)

Dzhafarov, E N; Zhang, Ru; Kujala, Janne

2016-01-13

Most behavioural and social experiments aimed at revealing contextuality are confined to cyclic systems with binary outcomes. In quantum physics, this broad class of systems includes as special cases Klyachko-Can-Binicioglu-Shumovsky-type, Einstein-Podolsky-Rosen-Bell-type and Suppes-Zanotti-Leggett-Garg-type systems. The theory of contextuality known as contextuality-by-default allows one to define and measure contextuality in all such systems, even if there are context-dependent errors in measurements, or if something in the contexts directly interacts with the measurements. This makes the theory especially suitable for behavioural and social systems, where direct interactions of 'everything with everything' are ubiquitous. For cyclic systems with binary outcomes, the theory provides necessary and sufficient conditions for non-contextuality, and these conditions are known to be breached in certain quantum systems. We review several behavioural and social datasets (from polls of public opinion to visual illusions to conjoint choices to word combinations to psychophysical matching), and none of these data provides any evidence for contextuality. Our working hypothesis is that this may be a broadly applicable rule: behavioural and social systems are non-contextual, i.e. all 'contextual effects' in them result from the ubiquitous dependence of response distributions on the elements of contexts other than the ones to which the response is presumably or normatively directed. © 2015 The Author(s).

Exploiting Social Context for Anticipatory Analysis of Human Movement

Science.gov (United States)

2012-10-01

Formation Using a Social Network of Web Services: A Preliminary Investigation,” Procedia Computer Science , vol. 5, pp. 466–471, Jan. 2011. [Online...steering and obstacle behavior are incorporated into the tracking and goal prediction system. Task 4: Learning through Social Context. Deliverable...answering predictive questions about the behavior of a large social system. We developed a method for generating agent activity profiles from

Sentiment analysis on tweets for social events

DEFF Research Database (Denmark)

Zhou, Xujuan; Tao, Xiaohui; Yong, Jianming

2013-01-01

Sentiment analysis or opinion mining is an important type of text analysis that aims to support decision making by extracting and analyzing opinion oriented text, identifying positive and negative opinions, and measuring how positively or negatively an entity (i.e., people, organization, event......, location, product, topic, etc.) is regarded. As more and more users express their political and religious views on Twitter, tweets become valuable sources of people's opinions. Tweets data can be efficiently used to infer people's opinions for marketing or social studies. This paper proposes a Tweets...... Sentiment Analysis Model (TSAM) that can spot the societal interest and general people's opinions in regard to a social event. In this paper, Australian federal election 2010 event was taken as an example for sentiment analysis experiments. We are primarily interested in the sentiment of the specific...

Chinese social media analysis for disease surveillance

Energy Technology Data Exchange (ETDEWEB)

Cui, Xiaohui [Wuhan Univ., Wuhan (China); Yang, Nanhai [Wuhan Univ., Wuhan (China); Wang, Zhibo [Wuhan Univ., Wuhan (China); East China Institute of Technology, Nanchang (China); Hu, Cheng [Wuhan Univ., Wuhan (China); Zhu, Weiping [Wuhan Univ., Wuhan (China); Li, Hanjie [Wuhan Univ., Wuhan (China); Ji, Yujie [Wuhan Univ., Wuhan (China); Liu, Cheng [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

2015-09-11

Here, it is reported that there are hundreds of thou- sands of deaths caused by seasonal flu all around the world every year. More other diseases such as chickenpox, malaria, etc. are also serious threats to people’s physical and mental health. There are 250,000–500,000 deaths every year around the world. Therefore proper techniques for disease surveillance are highly demanded. Recently, social media analysis is regarded as an efficient way to achieve this goal, which is feasible since growing number of people have been posting their health information on social media such as blogs, personal websites, etc. Previous work on social media analysis mainly focused on English materials but hardly considered Chinese materials, which hinders the application of such technique to Chinese peo- ple. In this paper, we proposed a new method of Chinese social media analysis for disease surveillance. More specifically, we compared different kinds of methods in the process of classification and then proposed a new way to process Chinese text data. The Chinese Sina micro-blog data collected from September to December 2013 are used to validate the effectiveness of the proposed method. The results show that a high classification precision of 87.49 % in average has been obtained. Comparing with the data from the authority, Chinese National Influenza Center, we can predict the outbreak time of flu 5 days earlier.

A Comparison of Social Dominance Theory and System Justification: The Role of Social Status in 19 Nations.

Science.gov (United States)

Vargas-Salfate, Salvador; Paez, Dario; Liu, James H; Pratto, Felicia; Gil de Zúñiga, Homero

2018-07-01

This study tests specific competing hypotheses from social dominance theory/realistic conflict theory (RCT) versus system justification theory about the role of social status. In particular, it examines whether system justification belief and effects are stronger among people with low socioeconomic status, and in less socially developed and unequal nations than among better-off people and countries. A cross-national survey was carried out in 19 nations from the Americas, Western and Eastern Europe, Asia, and Oceania using representative online samples ( N = 14,936, 50.15% women, M age = 41.61 years). At the individual level, system justification beliefs, right-wing authoritarianism, social dominance orientation, national identification, sociopolitical conservatism, sex, age, and social status were measured. At the national level, the human development index and the Gini index were used. Multilevel analyses performed indicated that results fit better with the social dominance/RCT approach, as system justification was higher in high-status and developed nations; further, associations between legitimizing ideologies and system justification were stronger among high-status people.

Big data analysis framework for healthcare and social sectors in Korea.

Science.gov (United States)

Song, Tae-Min; Ryu, Seewon

2015-01-01

We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea. We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz. Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: 'health risk analysis center' and 'integrated social welfare service network'. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea. There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.

Mapping Social Ecological Systems Archetypes

Science.gov (United States)

Rocha, J. C.; Malmborg, K.; Gordon, L.

2016-12-01

Achieving sustainable development goals requires targeting and monitoring sustainable solutions tailored to different social and ecological contexts. Elinor Ostrom stressed that there is no panaceas or universal solutions to environmental problems, and developed a social-ecological systems' (SES) framework -a nested multi tier set of variables- to help diagnose problems, identify complex interactions, and solutions tailored to each SES arena. However, to our knowledge, the SES framework has only been applied to over a hundred cases, and typically reflect the analysis of local case studies with relatively small coverage in space and time. While case studies are context rich and necessary, their conclusions might not reach policy making instances. Here we develop a data driven method for upscaling Ostrom's SES framework and applied to a context where we expect data is scarce, incomplete, but also where sustainable solutions are badly needed. The purpose of upscaling the framework is to create a tool that facilitates decision making on data scarce environments such as developing countries. We mapped SES by applying the SES framework to poverty alleviation and food security issues in the Volta River basin in Ghana and Burkina Faso. We found archetypical configurations of SES in space given data availability, we study their change over time, and discuss where agricultural innovations such as water reservoirs might have a stronger impact at increasing food security and therefore alleviating poverty and hunger. We conclude outlining how the method can be used in other SES comparative studies.

Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.

Directory of Open Access Journals (Sweden)

Catherine Hobaiter

2014-09-01

Full Text Available Social network analysis methods have made it possible to test whether novel behaviors in animals spread through individual or social learning. To date, however, social network analysis of wild populations has been limited to static models that cannot precisely reflect the dynamics of learning, for instance, the impact of multiple observations across time. Here, we present a novel dynamic version of network analysis that is capable of capturing temporal aspects of acquisition--that is, how successive observations by an individual influence its acquisition of the novel behavior. We apply this model to studying the spread of two novel tool-use variants, "moss-sponging" and "leaf-sponge re-use," in the Sonso chimpanzee community of Budongo Forest, Uganda. Chimpanzees are widely considered the most "cultural" of all animal species, with 39 behaviors suspected as socially acquired, most of them in the domain of tool-use. The cultural hypothesis is supported by experimental data from captive chimpanzees and a range of observational data. However, for wild groups, there is still no direct experimental evidence for social learning, nor has there been any direct observation of social diffusion of behavioral innovations. Here, we tested both a static and a dynamic network model and found strong evidence that diffusion patterns of moss-sponging, but not leaf-sponge re-use, were significantly better explained by social than individual learning. The most conservative estimate of social transmission accounted for 85% of observed events, with an estimated 15-fold increase in learning rate for each time a novice observed an informed individual moss-sponging. We conclude that group-specific behavioral variants in wild chimpanzees can be socially learned, adding to the evidence that this prerequisite for culture originated in a common ancestor of great apes and humans, long before the advent of modern humans.

Social network analysis shows direct evidence for social transmission of tool use in wild chimpanzees.

Science.gov (United States)

Hobaiter, Catherine; Poisot, Timothée; Zuberbühler, Klaus; Hoppitt, William; Gruber, Thibaud

2014-09-01

Social network analysis methods have made it possible to test whether novel behaviors in animals spread through individual or social learning. To date, however, social network analysis of wild populations has been limited to static models that cannot precisely reflect the dynamics of learning, for instance, the impact of multiple observations across time. Here, we present a novel dynamic version of network analysis that is capable of capturing temporal aspects of acquisition--that is, how successive observations by an individual influence its acquisition of the novel behavior. We apply this model to studying the spread of two novel tool-use variants, "moss-sponging" and "leaf-sponge re-use," in the Sonso chimpanzee community of Budongo Forest, Uganda. Chimpanzees are widely considered the most "cultural" of all animal species, with 39 behaviors suspected as socially acquired, most of them in the domain of tool-use. The cultural hypothesis is supported by experimental data from captive chimpanzees and a range of observational data. However, for wild groups, there is still no direct experimental evidence for social learning, nor has there been any direct observation of social diffusion of behavioral innovations. Here, we tested both a static and a dynamic network model and found strong evidence that diffusion patterns of moss-sponging, but not leaf-sponge re-use, were significantly better explained by social than individual learning. The most conservative estimate of social transmission accounted for 85% of observed events, with an estimated 15-fold increase in learning rate for each time a novice observed an informed individual moss-sponging. We conclude that group-specific behavioral variants in wild chimpanzees can be socially learned, adding to the evidence that this prerequisite for culture originated in a common ancestor of great apes and humans, long before the advent of modern humans.

Analysis of social media in Karelia

OpenAIRE

Soyunen, Maxim

2013-01-01

Author Maxim Soyunen Group or year of entry 2009 Title of report Analysis of Social Media in Karelia Number of report pages and attachment pages 46+1 Teacher(s) or supervisor(s) Suvi Kalela, Mervi Riikonen This study is an attempt to raise awareness of the theories and practices, which shape the digital landscape of the world and Russia in particular, as well as of the multiple resources i.e. social platforms and tools that individuals and businesses use on e...

Improving Family Forest Knowledge Transfer through Social Network Analysis

Science.gov (United States)

Gorczyca, Erika L.; Lyons, Patrick W.; Leahy, Jessica E.; Johnson, Teresa R.; Straub, Crista L.

2012-01-01

To better engage Maine's family forest landowners our study used social network analysis: a computational social science method for identifying stakeholders, evaluating models of engagement, and targeting areas for enhanced partnerships. Interviews with researchers associated with a research center were conducted to identify how social network…

Social insect colony as a biological regulatory system: modelling information flow in dominance networks.

Science.gov (United States)

Nandi, Anjan K; Sumana, Annagiri; Bhattacharya, Kunal

2014-12-06

Social insects provide an excellent platform to investigate flow of information in regulatory systems since their successful social organization is essentially achieved by effective information transfer through complex connectivity patterns among the colony members. Network representation of such behavioural interactions offers a powerful tool for structural as well as dynamical analysis of the underlying regulatory systems. In this paper, we focus on the dominance interaction networks in the tropical social wasp Ropalidia marginata-a species where behavioural observations indicate that such interactions are principally responsible for the transfer of information between individuals about their colony needs, resulting in a regulation of their own activities. Our research reveals that the dominance networks of R. marginata are structurally similar to a class of naturally evolved information processing networks, a fact confirmed also by the predominance of a specific substructure-the 'feed-forward loop'-a key functional component in many other information transfer networks. The dynamical analysis through Boolean modelling confirms that the networks are sufficiently stable under small fluctuations and yet capable of more efficient information transfer compared to their randomized counterparts. Our results suggest the involvement of a common structural design principle in different biological regulatory systems and a possible similarity with respect to the effect of selection on the organization levels of such systems. The findings are also consistent with the hypothesis that dominance behaviour has been shaped by natural selection to co-opt the information transfer process in such social insect species, in addition to its primal function of mediation of reproductive competition in the colony. © 2014 The Author(s) Published by the Royal Society. All rights reserved.

Narcissism and Social Networking Behavior: A Meta-Analysis.

Science.gov (United States)

Gnambs, Timo; Appel, Markus

2018-04-01

The increasing popularity of social networking sites (SNS) such as Facebook and Twitter has given rise to speculations that the intensity of using these platforms is associated with narcissistic tendencies. However, recent research on this issue has been all but conclusive. We present a three-level, random effects meta-analysis including 289 effect sizes from 57 studies (total N = 25,631) on the association between trait narcissism and social networking behavior. The meta-analysis identified a small to moderate effect of ρ = .17 (τ = .11), 95% CI [.13, .21], for grandiose narcissism that replicated across different social networking platforms, respondent characteristics, and time. Moderator analyses revealed pronounced cultural differences, with stronger associations in power-distant cultures. Moreover, social networking behaviors geared toward self-presentation and the number of SNS friends exhibited stronger effects than usage durations. Overall, the study not only supported but also refined the notion of a relationship between engaging in social networking sites and narcissistic personality traits. © 2017 Wiley Periodicals, Inc.

Inequality in Social Capital: Social Capital, Social Risk and Drop-out in the Turkish Education System

Science.gov (United States)

Cemalcilar, Zeynep; Göksen, Fatos

2014-01-01

This article examines the effects of social capital on the likelihood of dropping out from the compulsory education system (Grades One through Eight) in Turkey. It focuses on the question of whether school-related social capital can provide the means to stay in school in the presence of risk factors such as socioeconomic status, race, or gender…

Social networking and the Olympic Movement: social media analysis, opportunities and trends : final report

OpenAIRE

Fernández Peña, Emilio

2011-01-01

Table of contents : 1: Introduction. - 2 : Sociodemographic data of social networking sites. - 3 : The Vancouver 2010 Olympic Winter Games on Facebook, Twitter and Orkut. - 4 : Singapore 2010 Youth Olympic Games communication strategies on Facebook and Twitter. - 5 : Sport organizations social networking strategies : case study analysis. - 6 : Olympic athletes and social media use during a non olympic-period. - 7. The Olympic Games, NBA and FC Barcelona on Facebook : content and fan participa...

Social partners debate collective agreement system

NARCIS (Netherlands)

van het Kaar, R.

2013-01-01

Worries about levels of union membership have prompted debates on the collective bargaining system in the Netherlands. Governments have supported collective bargaining but the current Minister for Employment has stressed the need to enlarge the social base of the system and has sought advice from

From Management Systems to Corporate Social Responsibility

NARCIS (Netherlands)

Zwetsloot, G.I.J.M.

2003-01-01

At the start of the 21st century, Corporate Social Responsibility (CSR) seems to have great potential for innovating business practices with a positive impact on People, Planet and Profit. In this article the differences between the management systems approach of the nineties, and Corporate Social

A manifesto for conscientious design of hybrid online social systems

OpenAIRE

Noriega, Pablo; Verhagen, Harko; d’Inverno, Mark; Padget, Julian A.

2016-01-01

Online Social Systems such as community forums, social media, e-commerce and gaming are having an increasingly significant impact on our lives. They affect the way we accomplish all sorts of collective activities, the way we relate to others, and the way we construct are own self-image. These systems often have both human and artificial agency creating what we call online hybrid social systems. However, when systems are designed and constructed, the psychological and sociological impact of su...

Time series analysis in the social sciences the fundamentals

CERN Document Server

Shin, Youseop

2017-01-01

Times Series Analysis in the Social Sciences is a practical and highly readable introduction written exclusively for students and researchers whose mathematical background is limited to basic algebra. The book focuses on fundamental elements of time series analysis that social scientists need to understand so they can employ time series analysis for their research and practice. Through step-by-step explanations and using monthly violent crime rates as case studies, this book explains univariate time series from the preliminary visual analysis through the modeling of seasonality, trends, and re

OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media.

Science.gov (United States)

Wu, Yingcai; Liu, Shixia; Yan, Kai; Liu, Mengchen; Wu, Fangzhao

2014-12-01

It is important for many different applications such as government and business intelligence to analyze and explore the diffusion of public opinions on social media. However, the rapid propagation and great diversity of public opinions on social media pose great challenges to effective analysis of opinion diffusion. In this paper, we introduce a visual analysis system called OpinionFlow to empower analysts to detect opinion propagation patterns and glean insights. Inspired by the information diffusion model and the theory of selective exposure, we develop an opinion diffusion model to approximate opinion propagation among Twitter users. Accordingly, we design an opinion flow visualization that combines a Sankey graph with a tailored density map in one view to visually convey diffusion of opinions among many users. A stacked tree is used to allow analysts to select topics of interest at different levels. The stacked tree is synchronized with the opinion flow visualization to help users examine and compare diffusion patterns across topics. Experiments and case studies on Twitter data demonstrate the effectiveness and usability of OpinionFlow.

[System and anthropological analysis of psychology of loneliness of the people enduring social isolation (on the example of prisoners in the prisons of East Kazakhstan)].

Science.gov (United States)

Gizatullina, A G

2014-02-01

This article contains the material reflecting the results of the author's theoretical analysis of the loneliness phenomenon and an empirical study of its features in a particular social group - the prisoners. The analysis focused from the point of system-anthropological approach, actively developed by a group of Siberian scientists, considering the whole loneliness and loneliness of people who are hold at forced social isolation as a kind of integrity loss. The study accounted for age and gender differences in this population group. The research was conducted in the East Kazakhstan region of the Republic of Kazakhstan during 2007-2012. There was used a range of experimental psychological research methods in this study. Empirical research has shown that our hypothetical assumptions about the senses experience of loneliness in terms of system- anthropological psychology is justified. Identified indicators of the social isolation degree between prisoners in both gender groups were significantly higher in comparison with representative comparison groups. Manifestations of imbalance personal qualities male and female prisoners was confirmed the results obtained by the method of APDP, demonstrated a significant excess severity scales for pessimism , emotional lability , impulsivity, and anxiety. Most respondents in both gender groups of prisoners compared to general population showed a pronounced tendency to increased anxiety and depression , that indicates the negative effects of loneliness on the patients psychological status. This is confirmed by a statistically significant excess of the anxiety level and depression in both gender groups of prisoners.

A gossip-based distributed social networking system

NARCIS (Netherlands)

Abbas, S.M.A.; Pouwelse, J.A.; Epema, D.H.J.; Sips, H.J.

2009-01-01

Social networking Web sites, which allow users to create identities and link them to friends who have also created identities, are highly popular. Systems such as Facebook and MySpace utilize a traditional client-server approach to achieve this, which means that all identities and their social links

Wallerstein's World-Systems Analysis in Comparative Education: A Case Study

Science.gov (United States)

Griffiths, Tom G.; Knezevic, Lisa

2010-01-01

Since the 1970s, using his world-systems analysis, Immanuel Wallerstein has developed a wide-ranging framework for the social sciences, with potential applications for comparative educational research. In this paper we outline key aspects of Wallerstein's theorising, and then analyse the uptake, understandings, and applications of his analysis in…

Hierarchically sinergistical integration of Social Media Analytics/Social CRM with Business Intelligence and with the Geographic Information System

OpenAIRE

Круковський, Ігор Анатолійович; Хомів, Богдан Арсенович; Гаврилюк, Всеволод Леонідович

2014-01-01

The actuality of integration of Social Media Analytics/Social CRM with Decision Support Systems on the basis of Business Intelligence 2.0 (DSS/BI 2.0) and with the Geographic Information System is presented. On the basis of their integration a new type of DSS is offered - Social Media Spatial DSS/BI. The variant is shown of this system realization on the programmatic platform of Social Media Analytics of the SemanticForce Company, which has its own semantic analyzer Blueberry. The suitability...

Cross-Scale and Cross-Level Dynamics: Governance and Capacity for Resilience in a Social-Ecological System in Taiwan

Directory of Open Access Journals (Sweden)

Hsing-Sheng Tai

2015-02-01

Full Text Available Resilience thinking has strongly influenced how people understand and pursue sustainability of linked social-ecological systems. Resilience thinking highlights the need to build capacity and manage general system properties in a complex, constantly changing world. I modified an analytical framework to address associations among cross-scale and cross-level dynamics, attributes of governance, and capacity to enhance resilience. The Danungdafu Forestation Area represents one of Taiwan’s most controvisal cases concerning land use, indigenous rights, and environmental issues. Analysis of this Taiwanese experience from a social-ecological perspective can show how current capacities for managing resilience are related to critical governance attributes. Analysis helped identify fundamental flaws in current governance and key issues needing to be addressed. The Danungdafu Forestation Area should transition towards a governance regime that is more participatory, deliberative, multi-layered, accountable, just, and networked. This can be done by developing an intermediate level institution that coordinates the cross-scale and cross-level interactions that better fit this social-ecological system.

A multi-dimensional analysis of the upper Rio Grande-San Luis Valley social-ecological system

Science.gov (United States)

Mix, Ken

The Upper Rio Grande (URG), located in the San Luis Valley (SLV) of southern Colorado, is the primary contributor to streamflow to the Rio Grande Basin, upstream of the confluence of the Rio Conchos at Presidio, TX. The URG-SLV includes a complex irrigation-dependent agricultural social-ecological system (SES), which began development in 1852, and today generates more than 30% of the SLV revenue. The diversions of Rio Grande water for irrigation in the SLV have had a disproportionate impact on the downstream portion of the river. These diversions caused the flow to cease at Ciudad Juarez, Mexico in the late 1880s, creating international conflict. Similarly, low flows in New Mexico and Texas led to interstate conflict. Understanding changes in the URG-SLV that led to this event and the interactions among various drivers of change in the URG-SLV is a difficult task. One reason is that complex social-ecological systems are adaptive, contain feedbacks, emergent properties, cross-scale linkages, large-scale dynamics and non-linearities. Further, most analyses of SES to date have been qualitative, utilizing conceptual models to understand driver interactions. This study utilizes both qualitative and quantitative techniques to develop an innovative approach for analyzing driver interactions in the URG-SLV. Five drivers were identified for the URG-SLV social-ecological system: water (streamflow), water rights, climate, agriculture, and internal and external water policy. The drivers contained several longitudes (data aspect) relevant to the system, except water policy, for which only discreet events were present. Change point and statistical analyses were applied to the longitudes to identify quantifiable changes, to allow detection of cross-scale linkages between drivers, and presence of feedback cycles. Agricultural was identified as the driver signal. Change points for agricultural expansion defined four distinct periods: 1852--1923, 1924--1948, 1949--1978 and 1979

Solving problems in social-ecological systems: definition, practice and barriers of transdisciplinary research.

Science.gov (United States)

Angelstam, Per; Andersson, Kjell; Annerstedt, Matilda; Axelsson, Robert; Elbakidze, Marine; Garrido, Pablo; Grahn, Patrik; Jönsson, K Ingemar; Pedersen, Simen; Schlyter, Peter; Skärbäck, Erik; Smith, Mike; Stjernquist, Ingrid

2013-03-01

Translating policies about sustainable development as a social process and sustainability outcomes into the real world of social-ecological systems involves several challenges. Hence, research policies advocate improved innovative problem-solving capacity. One approach is transdisciplinary research that integrates research disciplines, as well as researchers and practitioners. Drawing upon 14 experiences of problem-solving, we used group modeling to map perceived barriers and bridges for researchers' and practitioners' joint knowledge production and learning towards transdisciplinary research. The analysis indicated that the transdisciplinary research process is influenced by (1) the amount of traditional disciplinary formal and informal control, (2) adaptation of project applications to fill the transdisciplinary research agenda, (3) stakeholder participation, and (4) functional team building/development based on self-reflection and experienced leadership. Focusing on implementation of green infrastructure policy as a common denominator for the delivery of ecosystem services and human well-being, we discuss how to diagnose social-ecological systems, and use knowledge production and collaborative learning as treatments.

Organisational dynamics, social norms and information systems

NARCIS (Netherlands)

Stamper, R.K.; Liu, Kecheng; Liu, Kecheng; Nunamaker, Jay F.; Sprague, Ralph H.

1994-01-01

An organisation is defined as a system of social norms. The concept of a norm is the social analogue of the concept of an affordance which Gibson (1968) introduced to account for perception of the physical world. Their conjunction is a logic of Norms and Affordances, Norma, which serves as a

Human Dimensions of Coral Reef Social-Ecological Systems

Directory of Open Access Journals (Sweden)

John N. Kittinger

2012-12-01

Full Text Available Coral reefs are among the most diverse ecosystems on the planet but are declining because of human activities. Despite general recognition of the human role in the plight of coral reefs, the vast majority of research focuses on the ecological rather than the human dimensions of reef ecosystems, limiting our understanding of social relationships with these environments as well as potential solutions for reef recovery. General frameworks for social-ecological systems (SESs have been advanced, but system-specific approaches are needed to develop a more nuanced view of human-environmental interactions for specific contexts and resource systems, and at specific scales. We synthesize existing concepts related to SESs and present a human dimensions framework that explores the linkages between social system structural traits, human activities, ecosystem services, and human well-being in coral reef SESs. Key features of the framework include social-ecological reciprocity, proximate and underlying dimensions, and the directionality of key relationships and feedback loops. Such frameworks are needed if human dimensions research is to be more fully integrated into studies of ecosystem change and the sustainability of linked SESs.

Collaborative User Network Embedding for Social Recommender Systems

KAUST Repository

Zhang, Chuxu

2017-06-09

To address the issue of data sparsity and cold-start in recommender system, social information (e.g., user-user trust links) has been introduced to complement rating data for improving the performances of traditional model-based recommendation techniques such as matrix factorization (MF) and Bayesian personalized ranking (BPR). Although effective, the utilization of the explicit user-user relationships extracted directly from such social information has three main limitations. First, it is difficult to obtain explicit and reliable social links. Only a small portion of users indicate explicitly their trusted friends in recommender systems. Second, the “cold-start” users are “cold” not only on rating but also on socializing. There is no significant amount of explicit social information that can be useful for “cold-start” users. Third, an active user can be socially connected with others who have different taste/preference. Direct usage of explicit social links may mislead recommendation. To address these issues, we propose to extract implicit and reliable social information from user feedbacks and identify top-k semantic friends for each user. We incorporate the top-k semantic friends information into MF and BPR frameworks to solve the problems of ratings prediction and items ranking, respectively. The experimental results on three real-world datasets show that our proposed approaches achieve better results than the state-of-the-art MF with explicit social links (with 3.0% improvement on RMSE), and social BPR (with 9.1% improvement on AUC).

Which Recommender System Can Best Fit Social Learning Platforms?

OpenAIRE

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to make use of graph-walking methods for improving performance of the well-known baseline algorithms. We evaluate the proposed graph-based approach in terms of their ...

Institutional trust in the national social security and municipal healthcare systems for the elderly in Japan.

Science.gov (United States)

Murayama, Hiroshi; Taguchi, Atsuko; Ryu, Shuhei; Nagata, Satoko; Murashima, Sachiyo

2012-09-01

Japanese social security systems and institutions for the elderly, as well as the general attitude toward elderly care services among the Japanese population, have been undergoing a dramatic change. By examining the association between institutional trust, which is a representative element of social capital, and anxiety regarding receiving elderly care, we can uncover clues toward building a more robust social security system for the elderly. This study examines the relationship between institutional trust, in the national social security and municipal healthcare systems for the elderly, and anxiety with respect to receiving elderly care among the general Japanese population. A cross-sectional survey was conducted using a self-administered questionnaire that was returned by mail in January and February 2005. The target population was 4735 community residents aged 20-75 years, who lived in the city of Koka, Shiga, Japan. A total of 2264 questionnaires were included in the analysis. A binominal logistic regression analysis showed that responses of 'trust' [odds ratio (OR): 2.09, 95% confidence interval (95% CI): 1.01-4.30] and 'strongly trust' (OR: 3.80, 95% CI: 1.55-9.31) for the national system were associated with not having anxiety regarding elderly care, compared with the reference category of feeling strongly distrust. However, trust in the municipal system showed no association with this anxiety. These results indicate the importance of developing strategies to increase a common trust in the national care services for the elderly to reduce the anxiety people feel regarding whether they will be able to receive elderly care when required.

Social Pedagogy and Social Work: An analysis of their Relationship from a Socio-pedagogical Perspective

Directory of Open Access Journals (Sweden)

Ewa Marynowicz-Hetka

2016-04-01

Full Text Available A proposal for the relationship between social pedagogy and social work will be made in this manuscript. It is assumed that social work is a certain type of practice cultivated by representatives of the social professions. Social pedagogy can provide an analysis of the field of social work, helping to orient activities within the field and to determine the proper selection of ways of conduct, a kind of a meta-theory. Such an approach enables interaction and cooperation between representatives of multiple disciplines within the humanities and social sciences who are engaged in social work. It also has consequences for the acceptance of multi-faceted and multi-dimensional approaches to activities in the field of social work, which is recognized as an important field for social pedagogues, allowing them to carry out social actions from various perspectives, socio-pedagogical among them. The socio-pedagogical perspective on social work will be analyzed in this article.

[Social Security Needs Social Medicine: Self-image of Physicians Practicing Social Medicine in Statutory Health Insurances and Social Security Systems].

Science.gov (United States)

Nüchtern, E; Bahemann, A; Egdmann, W; van Essen, J; Gostomzyk, J; Hemmrich, K; Manegold, B; Müller, B; Robra, B P; Röder, M; Schmidt, L; Zobel, A; von Mittelstaedt, G

2015-09-01

In January, 2014, the division "Social Medicine in Practice and Rehabilitation" of the German Society for Social Medicine and Prevention established a working group on the self-image of the physicians active in the field of social medicine (medical expertise and counseling). The result of this work is the contribution presented here after consensus was achieved by specialists of social medicine from different fields and institutions (social security etc.) and in good cooperation with Prof. Dr. Gostomzyk and Prof. Dr. Robra. Based on the importance of an up to date social medicine for claimants and recipients of benefits on the one hand and the social security system on the other, and also on a description of the subjects, objectives and methods the following aspects are presented: · The perspective of social medicine. · Qualification in social medicine, concerning specialist training and continuing medical education. · The fields of duty of experts in social medicine. · The proceedings in social medicine. The working group identified challenges for the specialists in social medicine by a narrowed perception of social medicine by physicians in hospitals and practice, accompanied by an enlarged importance of expertise in social medicine, by the demand for more "patient orientation" and gain of transparency, and concerning the scientific foundation of social medicine. The working group postulates: · The perspective of social medicine should be spread more widely.. · Confidence in experts of social medicine and their independency should be strengthened.. · The not case-related consulting of the staff and executives should be expanded.. · Social medicine in practice needs support by politics and society, and especially by research and teaching.. · Good cooperation and transfer of experiences of the different branches of social security are essential for the impact of social medicine.. © Georg Thieme Verlag KG Stuttgart · New York.

78 FR 2709 - Finding Regarding Foreign Social Insurance or Pension System-Romania

Science.gov (United States)

2013-01-14

... Insurance or Pension System-- Romania AGENCY: Social Security Administration (SSA) ACTION: Notice of Finding Regarding Foreign Social Insurance or Pension System--Romania. FINDING: Section 202(t)(1) of the Social... has in effect a social insurance or pension system which is of general application in such country and...

78 FR 28698 - Finding Regarding Foreign Social Insurance or Pension System-Kosovo

Science.gov (United States)

2013-05-15

... Insurance or Pension System-- Kosovo AGENCY: Social Security Administration (SSA). ACTION: Notice of Finding Regarding Foreign Social Insurance or Pension System--Kosovo. Finding: Section 202(t)(1) of the Social... has in effect a social insurance or pension system which is of general application in such country and...

Fluid Centrality: A Social Network Analysis of Social-Technical Relations in Computer-Mediated Communication

Science.gov (United States)

Enriquez, Judith Guevarra

2010-01-01

In this article, centrality is explored as a measure of computer-mediated communication (CMC) in networked learning. Centrality measure is quite common in performing social network analysis (SNA) and in analysing social cohesion, strength of ties and influence in CMC, and computer-supported collaborative learning research. It argues that measuring…

How Does Football Influence the Political System and Juridify Social Movements? Brazil, June 2013

Directory of Open Access Journals (Sweden)

Germano Schwartz

2016-09-01

Full Text Available According to current trends in the analysis of new social movements, protests are related to economic issues or social inequalities, particularly those of a religious or ethnic nature which, in turn, produce new communications directed at the political system. The present study aims to determine the relationship between football and the social movements that occurred in Brazil in June 2013, as well as investigate the responses of the political system to these social grievances, centered primarily on the juridification of these social spheres. Thus, it focuses on how the legal and political systems absorb these communications into their self-referential logic. To that end, the methodology used is based on the structural functionalism of Niklas Luhmann and his theory of autopoietic social systems. The results demonstrate that both systems – political and legal – were significantly influenced by football, specifically by the substantial investments allocated to hosting the 2014 World Cup in Brazil which, when contrasted with the low return of public services in the country, reveal the root causes of June 2013. Según las tendencias actuales en el análisis de los nuevos movimientos sociales, las protestas están relacionadas con cuestiones económicas o desigualdades sociales, en particular las de carácter religioso o étnico que, a su vez, producen nuevas comunicaciones dirigidas al sistema político. Este estudio pretende determinar la relación entre el fútbol y los movimientos sociales que se produjeron en Brasil en junio de 2013, así como investigar las respuestas del sistema político a estas demandas sociales, centradas principalmente en la juridificación de estas esferas sociales. Por lo tanto, se centra en cómo los sistemas legales y políticos absorben estas comunicaciones en su lógica autorreferencial. Para ello, la metodología empleada se basa en el funcionalismo estructural de Niklas Luhmann y su teoría de los sistemas

Ubiquitous Supervisory System Based on Social Contexts Using Ontology

Directory of Open Access Journals (Sweden)

Satoru Izumi

2009-01-01

Full Text Available As described in this paper, we propose a supervisory system that considers actual situations and social aspects of users in a ubiquitous computing environment. To realize gentle and safe supervision while providing efficient supervisory services, the system must recognize the situations of a watched person, such as the person's physical condition. To achieve this, we have proposed a ubiquitous supervisory system "uEyes", which introduces Social Context Awareness: a distinguishing feature for supervision. Using this feature, the system can combine environmental information acquired from sensors in the real world and common-sense knowledge related to human activities in daily life. As described in this paper, we specifically examine design of Social Context Awareness using ontology technologies. Based on this advanced feature, a live video streaming system is configured autonomously depending on the users' circumstances in runtime. We implemented a uEyes prototype for supervising elderly people and performed some experiments based on several scenarios. Based on those experimental results, we confirmed that the social contexts are handled effectively to support the supervision.

A model integrating social-cultural concepts of nature into frameworks of interaction between social and natural systems

DEFF Research Database (Denmark)

Muhar, Andreas; Raymond, Christopher M.; van den Born, Riyan J.G.

2018-01-01

relationship at both individual and collective levels. We highlight the relevance of individual and collective understandings of the human-nature relationship as influencing factors for environmental behaviour, which may be reflected in natural resource management conflicts, and review the diversity......Existing frameworks for analysing interactions between social and natural systems (e.g. Social-Ecological Systems framework, Ecosystem Services concept) do not sufficiently consider and operationalize the dynamic interactions between people's values, attitudes and understandings of the human-nature....... Integrating this model into existing frameworks provides a tool for the exploration of how social-cultural concepts of nature interact with existing contexts to influence governance of social-ecological systems....

Professional socialization in nursing: A qualitative content analysis.

Science.gov (United States)

Zarshenas, Ladan; Sharif, Farkhondeh; Molazem, Zahra; Khayyer, Mohammad; Zare, Najaf; Ebadi, Abbas

2014-07-01

Being a nurse is more than just a series of business activities and skills. In fact, it is a part of the process of socialization, which is internalization and development of professional identity. Professional socialization is necessary for involving the students in professional practices. Thus, the purpose of this qualitative research was to increase the understanding of professional socialization in nursing and explore the related factors from the perspective of registered nurses and nursing students. In this qualitative design, data were collected on 43 nurses with a variety of experiences using semi-structured interviews and focus groups in the Shiraz University of Medical Sciences in 2012. Data were analyzed through inductive content analysis. THE DATA ANALYSIS REVEALED TWO MAIN CATEGORIES: (1) sense of belonging with three sub-categories of theory-practice incongruence, educational experiences and tacit knowledge and (2) forming professional identity consisting of three sub-categories of relatedness, internal motivation and role model. This study demonstrates that in nursing, sense of belonging and professional identity contributes to professional socialization; it is suggested that these factors, which improve socialization in nurses, be taken into account by authorities.

Citizen Data Science for Social Good in Complex Systems

OpenAIRE

Soumya Banerjee

2018-01-01

The confluence of massive amounts of openly available data, sophisticated machine learning algorithms and an enlightened citizenry willing to engage in data science presents novel opportunities for crowd sourced data science for social good. In this submission, I present vignettes of data science projects that I have been involved in and which have impact in various spheres of life and on social good. Complex systems are all around us: from social networks to transportation systems, cities, e...

Critical discourse analysis of social justice in nursing's foundational documents.

Science.gov (United States)

Valderama-Wallace, Claire P

2017-07-01

Social inequities threaten the health of the global population. A superficial acknowledgement of social justice by nursing's foundational documents may limit the degree to which nurses view injustice as relevant to nursing practice and education. The purpose was to examine conceptualizations of social justice and connections to broader contexts in the most recent editions. Critical discourse analysis examines and uncovers dynamics related to power, language, and inequality within the American Nurses Association's Code of Ethics, Scope and Standards of Practice, and Social Policy Statement. This analysis found ongoing inconsistencies in conceptualizations of social justice. Although the Code of Ethics integrates concepts related to social justice far more than the other two, tension between professionalism and social change emerges. The discourse of professionalism renders interrelated cultural, social, economic, historical, and political contexts nearly invisible. Greater consistency would provide a clearer path for nurses to mobilize and engage in the courageous work necessary to address social injustice. These findings also call for an examination of how nurses can critique and use the power and privilege of professionalism to amplify the connection between social institutions and health equity in nursing education, practice, and policy development. © 2017 Wiley Periodicals, Inc.

Variation in social systems within Chaetodon butterflyfishes, with special reference to pair bonding

KAUST Repository

Nowicki, Jessica P.

2018-04-11

For many animals, affiliative relationships such as pair bonds form the foundation of society and are highly adaptive. Animal systems amenable for comparatively studying pair bonding are important for identifying underlying biological mechanisms, but mostly exist in mammals. Better establishing fish systems will enable comparison of pair bonding mechanisms across taxonomically distant lineages that may reveal general underlying mechanistic principles. We examined the utility of wild butterflyfishes (f: Chaetodontidae; g: Chaetodon) for comparatively studying pair bonding. Using stochastic character mapping, we provide the first analysis of the evolutionary history of butterflyfish sociality, revealing that pairing is ancestral, with at least seven independent transitions to gregarious grouping and solitary behavior since the late Miocene. We then formally verified social systems in six sympatric and widespread species representing a clade with one ancestrally reconstructed transition from paired to solitary grouping at Lizard Island, Australia. In situ observations of the size, selective affiliation and aggression, fidelity, and sex composition of social groups confirmed that Chaetodon baronessa, C. lunulatus, and C. vagabundus are predominantly pair bonding, whereas C. rainfordi, C. plebeius, and C. trifascialis are predominantly solitary. Even in the predominantly pair bonding species, C. lunulatus, a proportion of adults (15%) are solitary. Importantly, inter- and intra-specific differences in social systems do not co-vary with other previously established attributes, including parental care. Hence, the proposed butterflyfish populations are promising for inter- and intra-species comparative analyses of pair bonding and its mechanistic underpinnings. Avenues for further developing the system are proposed, including determining whether the aforementioned utility of these species applies across their geographic disruptions.

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…

Applying the system viability framework for cross-scalar governance of nested social-ecological systems in the Guiana Shield, South America

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Andrea Berardi

2015-09-01

Full Text Available Linking and analyzing governance of natural resources at different scales requires the development of a conceptual framework for analyzing social-ecological systems that can be easily applied by a range of stakeholders whose interests lie at different scales, but where the results of the analysis can be compared in a straightforward way. We outline the system viability framework, which allows participants to characterize a range of strategies in response to environment challenges for maintaining the long-term survival of their particular system of interest. Working in the Guiana Shield, South America, and with a range of local, regional, and international stakeholders, our aim was to use system viability to (1 investigate synergies and conflicts between distinct scales of governance, (2 identify scale-related challenges, and (3 test the framework as a conceptual tool for supporting cross-scalar analysis for environmental governance. At the international and national levels, a number of civil society organizations explored system viability indicators that would measure the successful implementation of governance mechanisms relevant to sustainable development and natural resource management. At the local level, we used participatory video and photography within two indigenous territories to enable local participants to identify indicators of viability within community governance systems. A grounded theory approach was then used to identify common themes across the different scales of analysis. Five key themes emerged: land rights, leadership, partnerships, lifestyle, and identity. We found that although most categories of interest were theoretically aligned across scales, all perceived systems of interest were struggling to face up to various cross-scalar challenges undermining different system viability responses. In conclusion, we highlight how the system viability framework can be used with a disparate variety of stakeholders as a practical

Social-ecological systems, social diversity, and power: insights from anthropology and political ecology

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Michael Fabinyi

2014-12-01

Full Text Available A social-ecological system (SES framework increasingly underpins the "resilience paradigm." As with all models, the SES comes with particular biases. We explore these key biases. We critically examine how the SES resilience literature has attempted to define and analyze the social arena. We argue that much SES literature defines people's interests and livelihoods as concerned primarily with the environment, and thereby underplays the role of other motivations and social institutions. We also highlight the SES resilience literature's focus on institutions and organized social units, which misses key aspects of social diversity and power. Our key premise is the importance of inter- and multi-disciplinary perspectives. To illustrate this, we draw attention to the critique of earlier ecological anthropology that remains relevant for current conceptualizations of SESs, focusing on the concepts of social diversity and power. And we discuss insights from social anthropology and political ecology that have responded to this critique to develop different ways of incorporating social diversity and power into human-environment relations. Finally, we discuss how these social science perspectives can help improve the understanding of the "social" in SES resilience research.

Managing social-ecological systems under uncertainty: implementation in the real world

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Ana Nuno

2014-06-01

Full Text Available Management decisions for natural resources are not made in a vacuum; the environmental and ecological conditions as well as the socioeconomic and political contexts affect goals, the choice of interventions, their feasibility, and which outcomes are obtained. Although uncertainty is recognized as a feature of natural resource management, little attention has been given to the uncertainty generated by institutional settings, historical contingency, and individual people's influence. These implementation uncertainties, related to the translation of policy into practice, make it difficult to predict the outcomes of management interventions within social-ecological systems. Using the conservation of species hunted for bushmeat in the Serengeti as a case study, we investigated the challenges and potential barriers to successful implementation of natural resource management policies. We used a mixed-methods approach, combining semistructured interviews with scenario building, social network, and institutional analysis exercises. Using a management strategy evaluation (MSE conceptual framework, we obtained insights into the constraints and opportunities for fulfilling stakeholder aspirations for the social-ecological system, analyzed the multiple roles played by different institutions in the system, and described the interactions between different actor types. We found that the respondents had generally similar views about the current and future status of the Serengeti but disagreed about how to address issues of conservation concern and were more uncertain about the actual outcomes of management interventions. Improving conservation implementation (rather than research, monitoring, or status assessment was perceived as the key priority to be addressed. Institutional barriers were perceived as an important challenge given that the decision-making and implementation processes were broadly distributed across a number of institutions. Conservation social

A Geographic Information System (GIS-Based Analysis of Social Capital Data: Landscape Factors That Correlate with Trust

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Sohrab Rahimi

2017-03-01

Full Text Available The field of community sociology has yielded rich insights on how neighborhoods and individuals foster social capital and reap the benefits of interpersonal relationships and institutions alike. Traditionally, institutions and cultural factors have been lauded as catalysts of community social life and cohesion. Yet, the built environment and configuration of the landscape, including infrastructure, amenities and population density, may also contribute to community social capital. In this article, we embedded zip code-level responses from Harvard University’s Saguaro Seminar’s 2006 Social Capital Community Benchmark Survey with a geographic information system. Specifically, we correlated responses on residents’ general trust, trust of one’s neighbors, and trust of members of other racial groups with local urban environmental factors and infrastructural indicators such as housing and street conditions, land use, city form, amenity access (e.g., libraries and schools, home vacancy rates, and home value. We conducted these tests at the national level and for Rochester, NY, due to its many survey responses. We found that housing vacancies drive down levels of social trust, as captured by homeownership rates and tenure, yielding higher levels of social trust, and that certain urban facilities correlate with high trust among neighbors. Results can inform urban planners on the amenities that support sustainable community ties.

A Life-Cycle Analysis of Social Security with Housing

OpenAIRE

Chen, Kaiji

2009-01-01

This paper incorporates two features of housing in a life-cycle analysis of social security: housing as a durable good and housing market frictions. We find that with housing as a durable good unfunded social security substantially crowds out housing consumption throughout the life cycle. By contrast, aggregate non-durable consumption is higher when social security is present, although it is postponed until late in life. Moreover, in the presence of housing market frictions, social security l...

Renewing the Future: Social Innovation Systems, Sector Shift, and Innoweave

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Stephen Huddart

2012-07-01

Full Text Available Against a backdrop of various “occupy” movements signifying civic dissatisfaction with the social contract, and in an era of fiscal restraint affecting governments and communities in many parts of the world, we need new and more effective ways to address complex social challenges. While continuous innovation is commonly understood to be a source of growth, productivity improvement, and competitive advantage in the technology and manufacturing sectors, the author’s focus is on social innovation systems, designed to replace maladaptive institutions and obsolete policy frameworks with novel and disruptive means for improving outcomes on issues such as population health and climate change. This article proposes a definition of such systems, and examines how system-level tools including impact investing, open data platforms, and “change labs” are fostering collaboration among the private, public, and community sectors. We argue that a key priority at this time is to make these and other tools and processes for social innovation available to community organizations and their government and business partners everywhere, in a manner that allows for continuous cycles of implementation and learning. The author describes one such project currently being developed in Canada by Social Innovation Generation and other partners, called Innoweave. Innoweave is a technology-enabled social innovation system for sharing the tools and processes of social innovation with the community sector. The article concludes with a call for multi-sectoral participation in social innovation systems as an investment in society’s adaptive capacity and future wellbeing.

Social responsibility as a management system

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Nuria Arimany-Serrat

2018-02-01

Originality/value: The study identifies a business management system that continuously organises and improves the performances of a company in the area of Corporate Social Responsibility, through audited certification that enhances the competitivity of companies that hold the international standard. The study also demonstrates the need for a management system to integrate into business models.

Social Development Needs Analysis as a tool for SIA to guide corporate-community investment: Applications in the minerals industry

International Nuclear Information System (INIS)

Esteves, Ana Maria; Vanclay, Frank

2009-01-01

Mining companies are faced with growing societal demands that a sufficient portion of the benefits from mining should flow to local communities to ensure they are adequately compensated for the negative social impacts they experience. This paper considers how a more equitable benefit distribution system can be achieved through voluntary initiatives, recognising companies as potential agents for social development through the provision of improved services and infrastructure, capacity-building, employment and local economic development initiatives. Social Development Needs Analysis is introduced as an enhancement to participatory Social Impact Assessment methods to give practical guidance to site managers in evaluating community investment alternatives. Social Development Needs Analysis aims to identify the priority social issues that need to be addressed in order for a company to contribute to a net positive impact in the community while building assets for the business

Individual recognition of social rank and social memory performance depends on a functional circadian system.

Science.gov (United States)

Müller, L; Weinert, D

2016-11-01

In a natural environment, social abilities of an animal are important for its survival. Particularly, it must recognize its own social rank and the social rank of a conspecific and have a good social memory. While the role of the circadian system for object and spatial recognition and memory is well known, the impact of the social rank and circadian disruptions on social recognition and memory were not investigated so far. In the present study, individual recognition of social rank and social memory performance of Djungarian hamsters revealing different circadian phenotypes were investigated. Wild type (WT) animals show a clear and well-synchronized daily activity rhythm, whereas in arrhythmic (AR) hamsters, the suprachiasmatic nuclei (SCN) do not generate a circadian signal. The aim of the study was to investigate putative consequences of these deteriorations in the circadian system for animalś cognitive abilities. Hamsters were bred and kept under standardized housing conditions with food and water ad libitum and a 14l/10 D lighting regimen. Experimental animals were assigned to different groups (WT and AR) according to their activity pattern obtained by means of infrared motion sensors. Before the experiments, the animals were given to develop a dominant-subordinate relationship in a dyadic encounter. Experiment 1 dealt with individual recognition of social rank. Subordinate and dominant hamsters were tested in an open arena for their behavioral responses towards a familiar (known from the agonistic encounters) or an unfamiliar hamster (from another agonistic encounter) which had the same or an opposite social rank. The investigation time depended on the social rank of the WT subject hamster and its familiarity with the stimulus animal. Both subordinate and dominant WT hamsters preferred an unfamiliar subordinate stimulus animal. In contrast, neither subordinate nor dominant AR hamsters preferred any of the stimulus animals. Thus, disruptions in circadian

The Evolution of Confusion: soft systems methodology and social theory revisited

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L. Houghton

2002-05-01

Full Text Available Soft Systems Methodology (SSM is a potentially powerful tool for improving the management of the complex social systems aspect of Information Systems. Yet if it is to be employed effectively IS managers need to understand the theory of social systems that makes SSM a meaningful practical approach. However finding out about that social theory is not straightforward. It is 20 years since the first discussions of the social reality implied by Soft Systems Methodology (SSM and the area has been given little attention since. Yet SSM itself has progressed dramatically since those first critiques of its underpinning social theory were first developed. This paper revisits the area in order to provide a contemporary perspective and foundation for future development. It reveals apparent weaknesses in the research debate about SSM and social theory, and shows how the evolution of SSM has apparently been affected by that debate. SSM is introduced and examined according to the primary literature and re-evaluated using Burrell and Morgan's four-paradigm matrix of social theory paradigms in order to understand the social reality implied by SSM. The paper examines criticisms of SSM, the recent evolution of SSM, and suggests future directions for development.

Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems.

Science.gov (United States)

Wu, Jun; Su, Zhou; Wang, Shen; Li, Jianhua

2017-07-30

Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud, it is a new trend that the objects establish social-like relationships with each other, which efficiently brings the benefits of developed sociality to a complex environment. As fog service become more sophisticated, it will become more convenient for fog users to share their own services, resources, and data via social networks. Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking. Aforementioned advantages make the social network a potential architecture for fog computing systems. In this paper, we design an architecture for social fog computing, in which the services of fog are provisioned based on "friend" relationships. To the best of our knowledge, this is the first attempt at an organized fog computing system-based social model. Meanwhile, social networking enhances the complexity and security risks of fog computing services, creating difficulties of security service recommendations in social fog computing. To address this, we propose a novel crowd sensing-enabling security service provisioning method to recommend security services accurately in social fog computing systems. Simulation results show the feasibilities and efficiency of the crowd sensing-enabling security service recommendation method for social fog computing systems.

Social Radar

Science.gov (United States)

2012-01-01

RTA HFM-201/RSM PAPER 3 - 1 © 2012 The MITRE Corporation. All Rights Reserved. Social Radar Barry Costa and John Boiney MITRE Corporation...defenders require an integrated set of capabilities that we refer to as a “ social radar.” Such a system would support strategic- to operational-level...situation awareness, alerting, course of action analysis, and measures of effectiveness for each action undertaken. Success of a social radar

Community structure analysis of rejection sensitive personality profiles: A common neural response to social evaluative threat?

Science.gov (United States)

Kortink, Elise D; Weeda, Wouter D; Crowley, Michael J; Gunther Moor, Bregtje; van der Molen, Melle J W

2018-06-01

Monitoring social threat is essential for maintaining healthy social relationships, and recent studies suggest a neural alarm system that governs our response to social rejection. Frontal-midline theta (4-8 Hz) oscillatory power might act as a neural correlate of this system by being sensitive to unexpected social rejection. Here, we examined whether frontal-midline theta is modulated by individual differences in personality constructs sensitive to social disconnection. In addition, we examined the sensitivity of feedback-related brain potentials (i.e., the feedback-related negativity and P3) to social feedback. Sixty-five undergraduate female participants (mean age = 19.69 years) participated in the Social Judgment Paradigm, a fictitious peer-evaluation task in which participants provided expectancies about being liked/disliked by peer strangers. Thereafter, they received feedback signaling social acceptance/rejection. A community structure analysis was employed to delineate personality profiles in our data. Results provided evidence of two subgroups: one group scored high on attachment-related anxiety and fear of negative evaluation, whereas the other group scored high on attachment-related avoidance and low on fear of negative evaluation. In both groups, unexpected rejection feedback yielded a significant increase in theta power. The feedback-related negativity was sensitive to unexpected feedback, regardless of valence, and was largest for unexpected rejection feedback. The feedback-related P3 was significantly enhanced in response to expected social acceptance feedback. Together, these findings confirm the sensitivity of frontal midline theta oscillations to the processing of social threat, and suggest that this alleged neural alarm system behaves similarly in individuals that differ in personality constructs relevant to social evaluation.

Comparative, Population-Level Analysis of Social Networks in Organizations

Science.gov (United States)

Jacobs, Abigail Z.

2017-01-01

As social behavior moves increasingly online, the study of social behavior has followed. Online traces of social systems, whether to study online behavior directly or the online traces of offline activity, have made possible previously unavailable empirical analyses of people, groups and organizations. However, practically observing any social…

Empirical Analysis of Religiosity as Predictor of Social Media Addiction

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Jamal J Almenayes

2015-10-01

Full Text Available This study sought to examine the dimensions of social media addiction and its relationship to religiosity.  To investigate the matter, the present research utilized a well-known Internet addiction scale and modified it to fit social media (Young, 1996.  Factor analysis of items generated by a sample of 1326 participants, three addiction factors were apparent.  These factors were later regressed on a scale of religiosity.  This scale contained a single factor based on factor analysis.  Results indicated that social media addiction had three factors; "Social Consequences", "Time Displacement" and "Compulsive feelings.  Religiosity, on the other hand, contained a single factor.  Both of these results were arrived at using factor analysis of their respective scales. The relationship between religiosity and social media addiction was then examined using linear regression.  The results indicated that only two of the addiction factors were significantly related to religiosity.  Future research should address the operationalization of the concept of religiosity to account for multiple dimensions.

Africa's game changers and the catalysts of social and system innovation

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Mark Swilling

2016-03-01

Full Text Available It is widely recognized that many African economies are being transformed by rapid economic growth driven largely by rising demand for the abundant natural resources scattered across the African continent. I critically review the mainstream game-changing dynamics driving this process, with special reference to a set of influential policy-oriented documents. This is followed by an analysis of less-recognized game-changing dynamics that have, in turn, been affected by the mainstream game-changing dynamics. These less-recognized game-changing dynamics include energy infrastructure challenges in a context of climate change, securing access to water, access to arable soils, slum urbanism, and food security responses. These mainstream and less-recognized game-changing dynamics provide the context for analyzing a range of African actor networks engaged in social and system innovations. I use a transdisciplinary framework to discuss these actor networks and how they construct their understanding of the game changers affecting their programs and actions. Based on a case study of the iShack initiative in Stellenbosch, South Africa, I conclude that social and system innovations will need to be driven by transformation knowledge co-produced by researchers and social actors who can actively link game-changing dynamics that operate at multiple scales with local-level innovations with potential societal impacts.

Impact of social preparedness on flood early warning systems

Science.gov (United States)

Girons Lopez, M.; Di Baldassarre, G.; Seibert, J.

2017-01-01

Flood early warning systems play a major role in the disaster risk reduction paradigm as cost-effective methods to mitigate flood disaster damage. The connections and feedbacks between the hydrological and social spheres of early warning systems are increasingly being considered as key aspects for successful flood mitigation. The behavior of the public and first responders during flood situations, determined by their preparedness, is heavily influenced by many behavioral traits such as perceived benefits, risk awareness, or even denial. In this study, we use the recency of flood experiences as a proxy for social preparedness to assess its impact on the efficiency of flood early warning systems through a simple stylized model and implemented this model using a simple mathematical description. The main findings, which are based on synthetic data, point to the importance of social preparedness for flood loss mitigation, especially in circumstances where the technical forecasting and warning capabilities are limited. Furthermore, we found that efforts to promote and preserve social preparedness may help to reduce disaster-induced losses by almost one half. The findings provide important insights into the role of social preparedness that may help guide decision-making in the field of flood early warning systems.

The Parent Version of the Preschool Social Skills Rating System: Psychometric Analysis and Adaptation with a German Preschool Sample

Science.gov (United States)

Hess, Markus; Scheithauer, Herbert; Kleiber, Dieter; Wille, Nora; Erhart, Michael; Ravens-Sieberer, Ulrike

2014-01-01

The Social Skills Rating System (SSRS) developed by Gresham and Elliott (1990) is a multirater, norm-referenced instrument measuring social skills and adaptive behavior in preschool children. The aims of the present study were (a) to test the factorial structure of the Parent Form of the SSRS for the first time with a German preschool sample (391…

The phenomenon of social assistance in the humanities: a retrospective analysis

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I. S. Lazarenko

2016-08-01

Full Text Available The article analyzes the phenomenon of social assistance in humanitarian schools. Such as: 1 Philosophy; 2 Cultural Studies; 3 Law; 3 Socio-pedagogical science. Retrospective analysis allowed revealing the research principles of social assistance analysis, functional features and differences of this phenomenon. Established that the theoretical basis of social assistance study incorporated in works of ancient philosophers (Socrates, Plato, Aristotle. Analyzed influence on the formation of social assistance scientific research by religious philosophers of the Middle Ages (F. Aquinas, A. Blessed. Deals the transformation of social assistance understanding from a part of society moral to forms of social interaction. Civilizational approach outlined in the cultural mainstream schools (B. Malinowski, C. Polanyi. It was determined that the cultural research traditions of social assistance understood this phenomena as a repeater of cultural heritage through the traditions of the community. Outlined scientific approach to social assistance in Law sciences. It was found that representatives of Socio-pedagogical and Political Science have used theoretical developments sociologists (M. Weber, J. Mead, H. Blumer, T. Parsons, R. Merton, E Giddens. Demonstrated that in Political Science social assistance acts as a functional tool for implementation of social policy. Characterized the role of social assistance within different models of social policy and its positions in state and international organization. Deals with the fundamental difference between the concepts of «social assistance» and «social work». Outlined limits the use of these concepts in humanitarian studies. The analysis allows us to formulate research strategies study the phenomenon of social assistance in modern society. In particular sociological perspective updated study of the phenomenon of social assistance. Actually, applied achievements of classic theory of social capital in the

Examination of the Relationship of Difficulties in Emotion Regulation, Behavioral Activation and Behavioral Inhibition System in the Prediction of Social Anxiety

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Sohrab Amiri

2017-07-01

Full Text Available Background and Objectives: Anxiety has a significant impact on academic and social performance as well as quality of life. The present study was conducted to investigate the relationship between brain/behavioral systems and difficulties in emotion regulation with cognitive and physical aspects of social anxiety. Methods: In this descriptive-correlational study, 306 students were selected from the student population of the Urmia University using multistage cluster sampling. Data collection was performed using measuring scales of social anxiety dimensions, behavioral activation and inhibition system, and difficulties in emotion regulation. Data were analyzed using descriptive indicators, correlation, simultaneous multiple regression analysis, and t-test analysis. Results: In this study, there was a significant positive correlation between behavioral inhibition system and social anxiety dimensions (p<0.001, Also, examination of the relationships of difficulties in emotion regulation and social anxiety indicated a significant positive correlation between difficulties in emotion regulation and social anxiety (p<0.001. In the comparison between women and men in terms of social anxiety components, both groups were different in cognitive dimension of social anxiety, so that the women obtained higher scores than men in the cognitive dimensions. Conclusion: According to the results of this study, individual differences in using negative emotion regulation strategies and personality traits play an important role in the onset and maintenance of anxiety.

Behavior analysis and social constructionism: some points of contact and departure.

Science.gov (United States)

Roche, Bryan; Barnes-Holmes, Dermot

2003-01-01

Social constructionists occasionally single out behavior analysis as the field of psychology that most closely resembles the natural sciences in its commitment to empiricism, and accuses it of suffering from many of the limitations to science identified by the postmodernist movement (e.g., K. J. Gergen, 1985a; Soyland, 1994). Indeed, behavior analysis is a natural science in many respects. However, it also shares with social constructionism important epistemological features such as a rejection of mentalism, a functional-analytic approach to language, the use of interpretive methodologies, and a reflexive stance on analysis. The current paper outlines briefly the key tenets of the behavior-analytic and social constructionist perspectives before examining a number of commonalties between these approaches. The paper aims to show that far from being a nemesis to social constructionism, behavior analysis may in fact be its close ally.

Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

Science.gov (United States)

Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

2017-01-01

The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

Social network analysis of study environment

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Blaženka Divjak

2010-06-01

Full Text Available Student working environment influences student learning and achievement level. In this respect social aspects of students’ formal and non-formal learning play special role in learning environment. The main research problem of this paper is to find out if students' academic performance influences their position in different students' social networks. Further, there is a need to identify other predictors of this position. In the process of problem solving we use the Social Network Analysis (SNA that is based on the data we collected from the students at the Faculty of Organization and Informatics, University of Zagreb. There are two data samples: in the basic sample N=27 and in the extended sample N=52. We collected data on social-demographic position, academic performance, learning and motivation styles, student status (full-time/part-time, attitudes towards individual and teamwork as well as informal cooperation. Afterwards five different networks (exchange of learning materials, teamwork, informal communication, basic and aggregated social network were constructed. These networks were analyzed with different metrics and the most important were betweenness, closeness and degree centrality. The main result is, firstly, that the position in a social network cannot be forecast only by academic success and, secondly, that part-time students tend to form separate groups that are poorly connected with full-time students. In general, position of a student in social networks in study environment can influence student learning as well as her/his future employability and therefore it is worthwhile to be investigated.

Networked Community Change: Understanding Community Systems Change through the Lens of Social Network Analysis.

Science.gov (United States)

Lawlor, Jennifer A; Neal, Zachary P

2016-06-01

Addressing complex problems in communities has become a key area of focus in recent years (Kania & Kramer, 2013, Stanford Social Innovation Review). Building on existing approaches to understanding and addressing problems, such as action research, several new approaches have emerged that shift the way communities solve problems (e.g., Burns, 2007, Systemic Action Research; Foth, 2006, Action Research, 4, 205; Kania & Kramer, 2011, Stanford Social Innovation Review, 1, 36). Seeking to bring clarity to the emerging literature on community change strategies, this article identifies the common features of the most widespread community change strategies and explores the conditions under which such strategies have the potential to be effective. We identify and describe five common features among the approaches to change. Then, using an agent-based model, we simulate network-building behavior among stakeholders participating in community change efforts using these approaches. We find that the emergent stakeholder networks are efficient when the processes are implemented under ideal conditions. © Society for Community Research and Action 2016.

Corporate social responsibility: A pharmaceutical analysis

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D. J. Theron

2005-12-01

Full Text Available In the modern business environment organisations need to address two important aspects affecting their operations: the quality of management and the impact of their operations on the well-being of the society in which they operate. This dualism often results in economic, political and social dilemmas influencing the viability of organisations in general, and more specifically and recently, local and international pharmaceutical organisations operating in South Africa. This article considers the aspect of corporate social responsibility (CSR in general and attempts to identify the social-related issues impacting on the pharmaceutical industry by means of content analysis - a research technique for making replicable and valid inferences from data. It furthermore describes the re-action of pharmaceutical organisations when confronted with such social demands, and finally analyses the management of CSR against four criteria of CSR. The article confirms the importance of managers to manage CSR towards society in a proactive manner. It furthermore suggests that the "hard" factors of strategic management and financial performance should be balanced with "soft" social/people issues. It also recommends that the industry should consider - and if applicable - endorse the concept of Issues Management as an approach to the proactive management of CSR.

A Theory of Transformative Agency in Linked Social-Ecological Systems

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Frances R. Westley

2013-09-01

Full Text Available We reviewed the literature on leadership in linked social-ecological systems and combined it with the literature on institutional entrepreneurship in complex adaptive systems to develop a new theory of transformative agency in linked social-ecological systems. Although there is evidence of the importance of strategic agency in introducing innovation and transforming approaches to management and governance of such systems, there is no coherent theory to explain the wide diversity of strategies identified. Using Holling's adaptive cycle as a model of phases present in innovation and transformation of resilient social-ecological systems, overlaid by Dorado's model of opportunity context (opaque, hazy, transparent in complex adaptive systems, we propose a more coherent theory of strategic agency, which links particular strategies, on the part of transformative agents, to phases of system change.

The Usage of Social Areas in University Campus Systems

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Begüm ERÇEVİK

2011-10-01

Full Text Available Universities aim to help students gain occupational skills through academic training and practice; to produce knowledge by carrying out applications and investigations which have scientific, social and economic bases, to prepare young people for com munity life by giving them duties and responsibilities; and finally, to make contributions to the social and educational level of the community. Moreover social and cultural activity areas in uni versities in which, apart from lecture halls, students spend most of their time during their educational, lives, are of great impor tance for social interaction. Social spaces, whose educational and awareness-raising role of preparing the youth for community life, are taken into account and of these areas, about their use of student assessment analysis is aimed. During this analysis, student views were investigated and compared at different university campus locations. Bahçeşehir University Beşiktaş Campus as a town university, Yıldız Teknik University Yıldız Merkez Campus as an in-town campus, Koç University Sarıyer Campus as a out-oftown campus were chosen as locations for the study. Statistical analysis is applied to the data obtained from the questionaries completed by students in the chosen universities. Following such investigations, findings relating to the sufficiency of social and cultural activity areas in campuses, their occupancy and reachability; and the user profile of the activity areas and town usage as a cultural area are obtained and evaluated.

Crawling Facebook for Social Network Analysis Purposes

OpenAIRE

Catanese, Salvatore A.; De Meo, Pasquale; Ferrara, Emilio; Fiumara, Giacomo; Provetti, Alessandro

2011-01-01

We describe our work in the collection and analysis of massive data describing the connections between participants to online social networks. Alternative approaches to social network data collection are defined and evaluated in practice, against the popular Facebook Web site. Thanks to our ad-hoc, privacy-compliant crawlers, two large samples, comprising millions of connections, have been collected; the data is anonymous and organized as an undirected graph. We describe a set of tools that w...

Study on role structure in social planning systems

International Nuclear Information System (INIS)

Kimata, Noboru

1984-01-01

New proposals are attended with a new set of role-expectation. If we lack attention to this aspect of any proposal, we face a serious difficulty in its implementation stage. The system called as Public Hearring shows us this fact. In this paper, introducing ABC model of communication by Westley and Maclean, we try to describe a set of role-expectation for particitants in social planning systems. And also introducing analytical concepts of role enactment process, we reveal two important problems for any proposal as a subsystem of social planning systems: (i) importance of role negotiation process for role-consensus, and (ii) necessity of supporting systems for role-adaptation. Especially for role-adaptation to Channel-Roles, we indicate the potential of VISMS as its supporting system. (author)

Financial forecasts accuracy in Brazil's social security system.

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Carlos Patrick Alves da Silva

Full Text Available Long-term social security statistical forecasts produced and disseminated by the Brazilian government aim to provide accurate results that would serve as background information for optimal policy decisions. These forecasts are being used as support for the government's proposed pension reform that plans to radically change the Brazilian Constitution insofar as Social Security is concerned. However, the reliability of official results is uncertain since no systematic evaluation of these forecasts has ever been published by the Brazilian government or anyone else. This paper aims to present a study of the accuracy and methodology of the instruments used by the Brazilian government to carry out long-term actuarial forecasts. We base our research on an empirical and probabilistic analysis of the official models. Our empirical analysis shows that the long-term Social Security forecasts are systematically biased in the short term and have significant errors that render them meaningless in the long run. Moreover, the low level of transparency in the methods impaired the replication of results published by the Brazilian Government and the use of outdated data compromises forecast results. In the theoretical analysis, based on a mathematical modeling approach, we discuss the complexity and limitations of the macroeconomic forecast through the computation of confidence intervals. We demonstrate the problems related to error measurement inherent to any forecasting process. We then extend this exercise to the computation of confidence intervals for Social Security forecasts. This mathematical exercise raises questions about the degree of reliability of the Social Security forecasts.

Financial forecasts accuracy in Brazil's social security system.

Science.gov (United States)

Silva, Carlos Patrick Alves da; Puty, Claudio Alberto Castelo Branco; Silva, Marcelino Silva da; Carvalho, Solon Venâncio de; Francês, Carlos Renato Lisboa

2017-01-01

Long-term social security statistical forecasts produced and disseminated by the Brazilian government aim to provide accurate results that would serve as background information for optimal policy decisions. These forecasts are being used as support for the government's proposed pension reform that plans to radically change the Brazilian Constitution insofar as Social Security is concerned. However, the reliability of official results is uncertain since no systematic evaluation of these forecasts has ever been published by the Brazilian government or anyone else. This paper aims to present a study of the accuracy and methodology of the instruments used by the Brazilian government to carry out long-term actuarial forecasts. We base our research on an empirical and probabilistic analysis of the official models. Our empirical analysis shows that the long-term Social Security forecasts are systematically biased in the short term and have significant errors that render them meaningless in the long run. Moreover, the low level of transparency in the methods impaired the replication of results published by the Brazilian Government and the use of outdated data compromises forecast results. In the theoretical analysis, based on a mathematical modeling approach, we discuss the complexity and limitations of the macroeconomic forecast through the computation of confidence intervals. We demonstrate the problems related to error measurement inherent to any forecasting process. We then extend this exercise to the computation of confidence intervals for Social Security forecasts. This mathematical exercise raises questions about the degree of reliability of the Social Security forecasts.

Why social network analysis is important to Air Force applications

Science.gov (United States)

Havig, Paul R.; McIntire, John P.; Geiselman, Eric; Mohd-Zaid, Fairul

2012-06-01

Social network analysis is a powerful tool used to help analysts discover relationships amongst groups of people as well as individuals. It is the mathematics behind such social networks as Facebook and MySpace. These networks alone cause a huge amount of data to be generated and the issue is only compounded once one adds in other electronic media such as e-mails and twitter. In this paper we outline the basics of social network analysis and how it may be used in current and future Air Force applications.

Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems

Directory of Open Access Journals (Sweden)

Jun Wu

2017-07-01

Full Text Available Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT to the cloud, it is a new trend that the objects establish social-like relationships with each other, which efficiently brings the benefits of developed sociality to a complex environment. As fog service become more sophisticated, it will become more convenient for fog users to share their own services, resources, and data via social networks. Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking. Aforementioned advantages make the social network a potential architecture for fog computing systems. In this paper, we design an architecture for social fog computing, in which the services of fog are provisioned based on “friend” relationships. To the best of our knowledge, this is the first attempt at an organized fog computing system-based social model. Meanwhile, social networking enhances the complexity and security risks of fog computing services, creating difficulties of security service recommendations in social fog computing. To address this, we propose a novel crowd sensing-enabling security service provisioning method to recommend security services accurately in social fog computing systems. Simulation results show the feasibilities and efficiency of the crowd sensing-enabling security service recommendation method for social fog computing systems.

Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems

Science.gov (United States)

Wu, Jun; Su, Zhou; Li, Jianhua

2017-01-01

Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud, it is a new trend that the objects establish social-like relationships with each other, which efficiently brings the benefits of developed sociality to a complex environment. As fog service become more sophisticated, it will become more convenient for fog users to share their own services, resources, and data via social networks. Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking. Aforementioned advantages make the social network a potential architecture for fog computing systems. In this paper, we design an architecture for social fog computing, in which the services of fog are provisioned based on “friend” relationships. To the best of our knowledge, this is the first attempt at an organized fog computing system-based social model. Meanwhile, social networking enhances the complexity and security risks of fog computing services, creating difficulties of security service recommendations in social fog computing. To address this, we propose a novel crowd sensing-enabling security service provisioning method to recommend security services accurately in social fog computing systems. Simulation results show the feasibilities and efficiency of the crowd sensing-enabling security service recommendation method for social fog computing systems. PMID:28758943

On China’s Social Security System and Traditional Chinese Culture

Institute of Scientific and Technical Information of China (English)

谢浙

2017-01-01

This paper explores the interrelation between China’s social security system and traditional Chinese culture, pointing out the meaning of the study, and that China’s social security system is a carrier and representation of traditional Chinese culture and

Cultural competence and social relationships: a social network analysis.

Science.gov (United States)

Dauvrin, M; Lorant, V

2017-06-01

This study investigated the role of social relationships in the sharing of cultural competence by testing two hypotheses: cultural competence is a socially shared behaviour; and central healthcare professionals are more culturally competent than non-central healthcare professionals. Sustaining cultural competence in healthcare services relies on the assumption that being culturally competent is a socially shared behaviour among health professionals. This assumption has never been tested. Organizational aspects surrounding cultural competence are poorly considered. This therefore leads to a heterogeneous implementation of cultural competence - especially in continental Europe. We carried out a social network analysis in 24 Belgian inpatient and outpatient health services. All healthcare professionals (ego) were requested to fill in a questionnaire (Survey on social relationships of health care professionals) on their level of cultural competence and to identify their professional relationships (alter). We fitted regression models to assess whether (1) at the dyadic level, ego cultural competence was associated with alter cultural competence, and (2) health professionals of greater centrality had greater cultural competence. At the dyadic level, no significant associations were found between ego cultural competence and alter cultural competence, with the exception of subjective exposure to intercultural situations. No significant associations were found between centrality and cultural competence, except for subjective exposure to intercultural situations. Being culturally competent is not a shared behaviour among health professionals. The most central healthcare professionals are not more culturally competent than less central health professionals. Culturally competent health care is not yet a norm in health services. Health care and training authorities should either make cultural competent health care a licensing criteria or reward culturally competent health care

Extending Impact Analysis in Government Social Media Research

DEFF Research Database (Denmark)

Medaglia, Rony; Zheng, Lei

2017-01-01

of this phenomenon, and falls short of investigating the impacts that these dimensions have on each other. Drawing on a revised framework for classifying existing social media research foci in the categories of management, context, user behavior, user characteristics, platform properties, and effects, we present......The use of social media by governments is a complex phenomenon that touches upon multiple dimensions, and that involves a wide array of relationships between these dimensions. Existing empirical research on government social media, however, is still mostly focusing on describing isolated aspects...... five empirical cases to illustrate impacts between dimensions of government social media. The empirical findings from the cases extend impact analysis beyond the existing foci, and enable us to propose a research agenda for future research on impacts in government social media....

Coordination dynamics in a socially situated nervous system

Science.gov (United States)

Coey, Charles A.; Varlet, Manuel; Richardson, Michael J.

2012-01-01

Traditional theories of cognitive science have typically accounted for the organization of human behavior by detailing requisite computational/representational functions and identifying neurological mechanisms that might perform these functions. Put simply, such approaches hold that neural activity causes behavior. This same general framework has been extended to accounts of human social behavior via concepts such as “common-coding” and “co-representation” and much recent neurological research has been devoted to brain structures that might execute these social-cognitive functions. Although these neural processes are unquestionably involved in the organization and control of human social interactions, there is good reason to question whether they should be accorded explanatory primacy. Alternatively, we propose that a full appreciation of the role of neural processes in social interactions requires appropriately situating them in their context of embodied-embedded constraints. To this end, we introduce concepts from dynamical systems theory and review research demonstrating that the organization of human behavior, including social behavior, can be accounted for in terms of self-organizing processes and lawful dynamics of animal-environment systems. Ultimately, we hope that these alternative concepts can complement the recent advances in cognitive neuroscience and thereby provide opportunities to develop a complete and coherent account of human social interaction. PMID:22701413

I design of the system of social accounting for the agricultural cooperative companies

Directory of Open Access Journals (Sweden)

Yamira Mirabal González

2014-06-01

Full Text Available The design and implementation of different instruments of evaluation of the social administration has demonstrated the theoretical and methodological inadequacies in its conception, lacking all as regularity of a specific countable system that allows the registration, the evaluation and the foundation of the process of taking of decisions in the environment of the social administration of the cooperative companies.  The scientific problem of the present work consists in that: "The current countable system of the cooperatives doesn't respond to its dual character, as economic company with high social purpose, when presenting an exclusively economic-financial focus that doesn't include the contabilization of its social acting."   The general objective, it is directed to: "To design a System of Social Accounting (SCS for the agricultural cooperative companies that it allows their integration to the current countable system, starting from the contabilization of their social acting, constituting a tool for the administration process and the taking of decisions."   The specific objectives of the investigation that allow the execution of the general objective are:  1. To define the elements that conform the System of Social Accounting in the cooperative companies.   2. To establish the relationships among the elements that conform the System of Social Accounting.  3. To schematize the designed System of Social Accounting.  The main results of the investigation are centered in: Determination of the elements that conform the System of Social Accounting, definition of the relationships that settle down among this elements and they guarantee their operation and graphic representation of this system.   System of Social Accounting, contabilization, social operations.

Corporate Social Responsibility Management System: A Beverage Industry Case Study

OpenAIRE

Almeida, Rita; David, Fátima; Abreu, Rute

2017-01-01

This research aims to analyse policies inherent to the Corporate Social Responsibility Management System (CSRMS) of a company that produce diet and light beverage, iced teas, juice drinks and bottled waters. This management system is based on Corporate Social Responsibility (CSR) as “concept whereby companies integrate social and environmental concerns in their business operations and in their interaction with their stakeholders on a voluntary basis” (EC, Green paper – Promotin...

76 FR 50283 - Finding Regarding Foreign Social Insurance or Pension System-Bulgaria

Science.gov (United States)

2011-08-12

... Insurance or Pension System-- Bulgaria AGENCY: Social Security Administration (SSA). ACTION: Notice of finding regarding foreign social insurance or pension system--Bulgaria. Finding: Section 202(t)(1) of the... has in effect a social insurance or pension system which is of general application in such country and...

E-health, health systems and social innovation

DEFF Research Database (Denmark)

Brem, Alexander; Sliwa, Sophie Isabel; Agarwal, Nivedita

2017-01-01

This paper explores telecare as one of the practical applications in the field of e-health. Using 11 expert interviews the study evaluates development of cross-national analogies between the different institutional contexts of health systems in Germany, Austria, and Denmark. Telecare is treated a...... to be driving socially innovative solutions. Implications for research and practice, as well as future research directions, are elaborated....... as a set of ideas regarding future processes in health and home care services, involving technological solutions, starting to change stakeholders' behaviour, work practices, and social roles. A system-centric framework is proposed to evaluate the interdependencies between telecare, the changing...

Missing ecology: integrating ecological perspectives with the social-ecological system framework

Directory of Open Access Journals (Sweden)

Graham Epstein

2013-08-01

Full Text Available The social-ecological systems framework was designed to provide a common research tool for interdisciplinary investigations of social-ecological systems. However, its origin in institutional studies of the commons belies its interdisciplinary ambitions and highlights its relatively limited attention to ecology and natural scientific knowledge. This paper considers the biophysical components of the framework and its epistemological foundations as it relates to the incorporation of knowledge from the natural sciences. It finds that the mixture of inductive and deductive reasoning associated with socially-oriented investigations of these systems is lacking on the ecological side, which relies upon induction alone. As a result the paper proposes the addition of a seventh core sub-system to the social-ecological systems framework, ecological rules, which would allow scholars to explicitly incorporate knowledge from the natural sciences for deductive reasoning. The paper shows, through an instructive case study, how the addition of ecological rules can provide a more nuanced description of the factors that contribute to outcomes in social-ecological systems.

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media.

Science.gov (United States)

Zhao, Jian; Cao, Nan; Wen, Zhen; Song, Yale; Lin, Yu-Ru; Collins, Christopher

2014-12-01

We present FluxFlow, an interactive visual analysis system for revealing and analyzing anomalous information spreading in social media. Everyday, millions of messages are created, commented, and shared by people on social media websites, such as Twitter and Facebook. This provides valuable data for researchers and practitioners in many application domains, such as marketing, to inform decision-making. Distilling valuable social signals from the huge crowd's messages, however, is challenging, due to the heterogeneous and dynamic crowd behaviors. The challenge is rooted in data analysts' capability of discerning the anomalous information behaviors, such as the spreading of rumors or misinformation, from the rest that are more conventional patterns, such as popular topics and newsworthy events, in a timely fashion. FluxFlow incorporates advanced machine learning algorithms to detect anomalies, and offers a set of novel visualization designs for presenting the detected threads for deeper analysis. We evaluated FluxFlow with real datasets containing the Twitter feeds captured during significant events such as Hurricane Sandy. Through quantitative measurements of the algorithmic performance and qualitative interviews with domain experts, the results show that the back-end anomaly detection model is effective in identifying anomalous retweeting threads, and its front-end interactive visualizations are intuitive and useful for analysts to discover insights in data and comprehend the underlying analytical model.

Reforming the South African Social Security Adjudication System: Innovative Experiences from South African Non-Social Security Jurisdictions

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Mathias Ashu Tako Nyenti

2016-08-01

Full Text Available There is currently no uniform social security dispute resolution system in South Africa due to the piecemeal fashion in which schemes were established or protection against individual risks regulated. The result is that each statute provides for its own dispute resolution institution(s and processes. There are also various gaps and challenges in the current social security dispute resolution systems, some of these relating to the uncoordinated and fragmented nature of the system; inaccessibility of some social security institutions; inappropriateness of some current appeal institutions; the lack of a systematic approach in establishing appeal institutions; a limited scope of jurisdiction and powers of adjudication institutions; inconsistencies in review and/or appeal provisions in various laws; an unavailability of alternative dispute resolution procedures; and an absence of institutional independence of adjudication institutions or forums. The system is therefore in need of reform. In developing an appropriate system, much can be learned from innovative experiences in comparative South African non-social security jurisdictions on the establishment of effective and efficient dispute resolution frameworks. Dispute resolution systems in the labour relations, business competition regulation and consumer protection jurisdictions have been established to realise the constitutional rights of their users (especially the rights of access to justice, to a fair trial and to just administrative action. They thus provide a benchmark for the development of the South African social security dispute resolution system.

Environmental and Social Management System Implementation Handbook : Crop Production

OpenAIRE

International Finance Corporation

2014-01-01

This Handbook is intended to be a practical guide to help companies in the crop production industry develop and implement an environmental and social management system, which should help to improve overall operations. If a company has existing management systems for quality or health and safety, this Handbook will help to expand them to include environmental and social performance. Sectio...

Positioning Theory and Discourse Analysis: Some Tools for Social Interaction Analysis

Directory of Open Access Journals (Sweden)

Francisco Tirado

2007-05-01

Full Text Available This article outlines positioning theory as a discursive analysis of interaction, focusing on the topic of conflict. Moreover, said theory is applied to a new work environment for the social sciences: virtual spaces. The analysis is organized in the following way. First, the major key psychosocial issues which define the topic of conflict are reviewed. Then, virtual environments are presented as a new work space for the social sciences. Thirdly, a synthesis of positioning theory and its FOUCAULTian legacy is conducted, while appreciating its particular appropriateness for analyzing conflictive interaction in virtual environments. An empiric case is then presented. This consists of an analysis of interactive sequences within a specific virtual environment: the Universitat Oberta de Catalunya (UOC Humanitats i Filologia Catalana studies forum. Through positioning theory, the production and effects that a conflictive interaction sequence has on the community in which it is produced are understood and explained. URN: urn:nbn:de:0114-fqs0702317

The correlation of social support with mental health: A meta-analysis.

Science.gov (United States)

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-09-01

Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included "mental health or general health," and "Iran" and "social support." In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students.

Social Media Marketing – Analysis of Online presence of Slovak banks

Directory of Open Access Journals (Sweden)

Tomas Feige

2013-07-01

Full Text Available Paper focuses on areas of Social Media Marketing and Social Network Analysis. It describes case-study of joint university-business project of analysis of online presence of Slovak banks which took place in cooperation with IBM CZ in early 2012. This project was aimed at general analysis of online presence of Slovak banks, uncovering the structure of various channels and forms of bank-customer interaction and identifying key actors in banks social networks along with general sentiment and climate. Paper gives a general overview of the project and its challenges and presents high-level results.

[Universalization of health or of social security?].

Science.gov (United States)

Levy-Algazi, Santiago

2011-01-01

This article presents an analysis of the architecture of Mexico's health system based on the main economic problem, failing to achieve a GDP growth rate to increase real wages and give workers in formal employment coverage social security. This analysis describes the relationship between social security of the population and employment status of it (either formal or informal employment) and the impact that this situation poses to our health system. Also, it ends with a reform proposal that will give all workers the same social rights, ie to grant universal social security.

Regression analysis for the social sciences

CERN Document Server

Gordon, Rachel A

2010-01-01

The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

Forensic analysis of social networking application on iOS devices

Science.gov (United States)

Zhang, Shuhui; Wang, Lianhai

2013-12-01

The increased use of social networking application on iPhone and iPad make these devices a goldmine for forensic investigators. Besides, QQ, Wechat, Sina Weibo and skype applications are very popular in China and didn't draw attention to researchers. These social networking applications are used not only on computers, but also mobile phones and tablets. This paper focuses on conducting forensic analysis on these four social networking applications on iPhone and iPad devices. The tests consisted of installing the social networking applications on each device, conducting common user activities through each application and correlation analysis with other activities. Advices to the forensic investigators are also given. It could help the investigators to describe the crime behavior and reconstruct the crime venue.

Discourse analysis and social constructionism.

Science.gov (United States)

White, Robert

2004-01-01

Discourse analysis (DA) is underpinned by a social constructionist orientation to knowledge. Social constructionism rests on the philosophical assumptions that multiple versions of the world are legitimate; that texts are open to multiple readings; and that language is non-representational. As social constructionism is relativistic, the status of 'evidence' generated by DA is questionable from more traditional research perspectives. On a common-sense level, people obviously construct meaning in relation to their lives. Thus, DA can help us to examine constructions of meaning in relation to nursing care. Equally the discourse analyst constructs one possible meaning in relation to a phenomenon that may compete with other versions. Multiplicity does not necessarily entail anarchy and competing versions prevent authoritarianism and loss of freedom. However, judgements have to be made about competing versions, for example, by assessing the level of 'facticity', or referring to the ethics embedded in the cultural context. In this paper, Bob White discusses DA as a form of qualitative research that offers promise for nursing research. Subsequent papers will examine the methodology and methods of DA and its application to nursing research.

Discourse analysis and social constructionism.

Science.gov (United States)

White, Robert

2004-10-01

Discourse analysis (DA) is underpinned by a social constructionist orientation to knowledge. Social constructionism rests on the philosophical assumptions that multiple versions of the world are legitimate; that texts are open to multiple readings; and that language is non-representational. As social constructionism is relativistic, the status of 'evidence' generated by DA is questionable from more traditional research perspectives. On a common-sense level, people obviously construct meaning in relation to their lives. Thus, DA can help us to examine constructions of meaning in relation to nursing care. Equally, the discourse analyst constructs one possible meaning in relation to a phenomenon that may compete with other versions. Multiplicity does not necessarily entail anarchy, and competing versions prevent authoritarianism and loss of freedom. However, judgements have to be made about competing versions, for example, by assessing the level of 'facticity', or referring to the ethics embedded in the cultural context. In this paper, Bob White discusses DA as a form of qualitative research that offers promise for nursing research. Subsequent papers will examine the methodology and methods of DA and its application to nursing research.

Feminist Policy Analysis: Expanding Traditional Social Work Methods

Science.gov (United States)

Kanenberg, Heather

2013-01-01

In an effort to move the methodology of policy analysis beyond the traditional and artificial position of being objective and value-free, this article is a call to those working and teaching in social work to consider a feminist policy analysis lens. A review of standard policy analysis models is presented alongside feminist models. Such a…

Pro-eating disorder communities on social networking sites: a content analysis.

Science.gov (United States)

Juarascio, Adrienne S; Shoaib, Amber; Timko, C Alix

2010-01-01

The purpose of this study was to assess the number of pro-ana groups on social networking sites and to analyze their content. A general inductive approach was used to analyze the content. Two main themes emerged from the content analysis: social support and eating disorder specific content. Themes were similar across all groups; however, a linguistic analysis indicated differences between groups on the two different networking sites. There was an absence of content typically found on Internet sites. Pro-ana groups on social networking sites are focused on social interactions, and lack eating disorder specific content found on Internet sites.

Across Space and Time: Social Responses to Large-Scale Biophysical Systems

Science.gov (United States)

Macmynowski, Dena P.

2007-06-01

The conceptual rubric of ecosystem management has been widely discussed and deliberated in conservation biology, environmental policy, and land/resource management. In this paper, I argue that two critical aspects of the ecosystem management concept require greater attention in policy and practice. First, although emphasis has been placed on the “space” of systems, the “time”—or rates of change—associated with biophysical and social systems has received much less consideration. Second, discussions of ecosystem management have often neglected the temporal disconnects between changes in biophysical systems and the response of social systems to management issues and challenges. The empirical basis of these points is a case study of the “Crown of the Continent Ecosystem,” an international transboundary area of the Rocky Mountains that surrounds Glacier National Park (USA) and Waterton Lakes National Park (Canada). This project assessed the experiences and perspectives of 1) middle- and upper-level government managers responsible for interjurisdictional cooperation, and 2) environmental nongovernment organizations with an international focus. I identify and describe 10 key challenges to increasing the extent and intensity of transboundary cooperation in land/resource management policy and practice. These issues are discussed in terms of their political, institutional, cultural, information-based, and perceptual elements. Analytic techniques include a combination of environmental history, semistructured interviews with 48 actors, and text analysis in a systematic qualitative framework. The central conclusion of this work is that the rates of response of human social systems must be better integrated with the rates of ecological change. This challenge is equal to or greater than the well-recognized need to adapt the spatial scale of human institutions to large-scale ecosystem processes and transboundary wildlife.

Social and Gender Analysis in Natural Resource Management ...

International Development Research Centre (IDRC) Digital Library (Canada)

2006-01-01

Jan 1, 2006 ... ... processes concerning the access, use, and management of natural resources. ... English · Français ... Social and Gender Analysis in Natural Resource Management: Learning Studies and Lessons from Asia ... gender analysis, including questions of class, caste, and ethnicity, into their everyday work.

Evaluating the Sustainability of the Spanish Social Security System

Directory of Open Access Journals (Sweden)

Francisco J. Blanco-Encomienda

2017-12-01

Full Text Available Social security has remarkable relevance in the general context of Spanish economy. This system is viable if the volume of active population increases at a higher rate than the number of pensioners does and if, in addition, active population is employed by the productive system. The reports of the National Institute of Statistics about Spanish demography demonstrate how these conditions are not met as of today, because our society has one of the highest aging rates and also a remarkable increase in the dependency rate. Through various techniques of time series analysis, this paper reveals the current economic trends in Spain to demonstrate the need for structural reforms of the system so as to make it more sustainable in the long term. To achieve this, it is necessary to change the financing model to a mixed one where the capitalization method plays a significant role, and also to implement urgent measures in order to reduce the barriers to business and employment development.

Meta-Analysis of Social Cognition in Mild Cognitive Impairment.

Science.gov (United States)

Bora, Emre; Yener, Görsev G

2017-07-01

Social cognitive abilities are impaired in Alzheimer disease and other dementias. Recent studies suggested that social cognitive abilities might be also impaired in mild cognitive impairment (MCI). Current meta-analysis aimed to summarize available evidence for deficits in theory of mind (ToM) and emotion recognition in MCI. In this meta-analysis of 17 studies, facial emotion recognition and ToM performances of 513 individuals with MCI and 693 healthy controls were compared. Mild cognitive impairment was associated with significant impairments falling in the medium effect sizes range in ToM ( d = 0.63) and facial emotion recognition ( d = 0.58). Among individual emotions, recognition of fear and sadness were particularly impaired. There were no significant between-group differences in recognition of disgust, happiness, and surprise. Social cognitive deficits were more severe in multidomain MCI. There is a need for longitudinal studies investigating the potential role of social cognitive impairment in predicting conversion to dementia.

Safety culture and accident analysis-A socio-management approach based on organizational safety social capital

International Nuclear Information System (INIS)

Rao, Suman

2007-01-01

One of the biggest challenges for organizations in today's competitive business environment is to create and preserve a self-sustaining safety culture. Typically, Key drivers of safety culture in many organizations are regulation, audits, safety training, various types of employee exhortations to comply with safety norms, etc. However, less evident factors like networking relationships and social trust amongst employees, as also extended networking relationships and social trust of organizations with external stakeholders like government, suppliers, regulators, etc., which constitute the safety social capital in the Organization-seem to also influence the sustenance of organizational safety culture. Can erosion in safety social capital cause deterioration in safety culture and contribute to accidents? If so, how does it contribute? As existing accident analysis models do not provide answers to these questions, CAMSoC (Curtailing Accidents by Managing Social Capital), an accident analysis model, is proposed. As an illustration, five accidents: Bhopal (India), Hyatt Regency (USA), Tenerife (Canary Islands), Westray (Canada) and Exxon Valdez (USA) have been analyzed using CAMSoC. This limited cross-industry analysis provides two key socio-management insights: the biggest source of motivation that causes deviant behavior leading to accidents is 'Faulty Value Systems'. The second biggest source is 'Enforceable Trust'. From a management control perspective, deterioration in safety culture and resultant accidents is more due to the 'action controls' rather than explicit 'cultural controls'. Future research directions to enhance the model's utility through layering are addressed briefly

SUPERCOMPUTER SIMULATION OF CRITICAL PHENOMENA IN COMPLEX SOCIAL SYSTEMS

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Petrus M.A. Sloot

2014-09-01

Full Text Available The paper describes a problem of computer simulation of critical phenomena in complex social systems on a petascale computing systems in frames of complex networks approach. The three-layer system of nested models of complex networks is proposed including aggregated analytical model to identify critical phenomena, detailed model of individualized network dynamics and model to adjust a topological structure of a complex network. The scalable parallel algorithm covering all layers of complex networks simulation is proposed. Performance of the algorithm is studied on different supercomputing systems. The issues of software and information infrastructure of complex networks simulation are discussed including organization of distributed calculations, crawling the data in social networks and results visualization. The applications of developed methods and technologies are considered including simulation of criminal networks disruption, fast rumors spreading in social networks, evolution of financial networks and epidemics spreading.

The social impacts of dams: A new framework for scholarly analysis

International Nuclear Information System (INIS)

Kirchherr, Julian; Charles, Katrina J.

2016-01-01

No commonly used framework exists in the scholarly study of the social impacts of dams. This hinders comparisons of analyses and thus the accumulation of knowledge. The aim of this paper is to unify scholarly understanding of dams' social impacts via the analysis and aggregation of the various frameworks currently used in the scholarly literature. For this purpose, we have systematically analyzed and aggregated 27 frameworks employed by academics analyzing dams' social impacts (found in a set of 217 articles). A key finding of the analysis is that currently used frameworks are often not specific to dams and thus omit key impacts associated with them. The result of our analysis and aggregation is a new framework for scholarly analysis (which we call ‘matrix framework’) specifically on dams' social impacts, with space, time and value as its key dimensions as well as infrastructure, community and livelihood as its key components. Building on the scholarly understanding of this topic enables us to conceptualize the inherently complex and multidimensional issues of dams' social impacts in a holistic manner. If commonly employed in academia (and possibly in practice), this framework would enable more transparent assessment and comparison of projects.

Environmental and Social Management System Implementation Handbook : Animal Production

OpenAIRE

International Finance Corporation

2014-01-01

Environmental and social responsibility is becoming more and more important in todayapos;s global economy. There are thousands of environmental and social codes and standards in the world today. The codes and standards define the rules and the objectives. But the challenge is in the implementation. An environmental and social management system (ESMS) helps companies to integrate the ru...

Social Policies in Contemporary Latin America: Families and Poverty in the Social Protection Systems

OpenAIRE

González, Cristina

2015-01-01

This article examines the impact of social policies on the living conditions of poor families—particularly women—in Latin America from the late 1980s to the present. It identifies three distinct trends of familialism in the region’s social protection systems. The first social policy trend is characterized by poverty alleviation policies addressing the family in an “elliptical” way, taking for granted the idea of a nuclear family. The distinguishing trait of the second trend is the appearance ...

Communities of Practice and Social Learning Systems: the Career of a Concept

Science.gov (United States)

Wenger, Etienne

The concept of community of practice was not born in the systems theory tradition. It has its roots in attempts to develop accounts of the social nature of human learning inspired by anthropology and social theory (Lave, 1988; Bourdieu, 1977; Giddens, 1984; Foucault, 1980; Vygotsky, 1978). But the concept of community of practice is well aligned with the perspective of systems traditions. A community of practice itself can be viewed as a simple social system. And a complex social system can be viewed as constituted by interrelated communities of practice. In this essay I first explore the systemic nature of the concept at these two levels. Then I use this foundation to look at the applications of the concept, some of its main critiques, and its potential for developing a social discipline of learning.

Social sciences via network analysis and computation

CERN Document Server

Kanduc, Tadej

2015-01-01

In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as t

Semantic Sentiment Analysis in Arabic Social Media

Directory of Open Access Journals (Sweden)

Samir Tartir

2017-04-01

Full Text Available Social media is a huge source of information. And is increasingly being used by governments, companies, and marketers to understand how the crowd thinks. Sentiment analysis aims to determine the attitudes of a group of people that are using one or more social media platforms with respect to a certain topic. In this paper, we propose a semantic approach to discover user attitudes and business insights from social media in Arabic, both standard and dialects. We also introduce the first version of our Arabic Sentiment Ontology (ASO that contains different words that express feelings and how strongly these words express these feelings. We then show the usability of our approach in classifying different Twitter feeds on different topics.

Future cooperative communication systems driven by social mobile networks

DEFF Research Database (Denmark)

Blázovics, L.; Varga, C.; Bamford, W.

2011-01-01

In this work we are underlining the importance of social mobile networks for upcoming cooperative communication systems. The assumption of this work is that future mobile communication systems will incorporate user cooperation, i.e. a combination of cellular access in parallel with ongoing short...... cases. By the example of the Gedda-Headz gaming community, possible links between cooperative mobile communication and social mobile networks are shown....

Social values and political realities in the energy system

International Nuclear Information System (INIS)

Reuter, A.L.

2001-01-01

Social values, which represent our visions, determine the decisions made in the energy sector more than their technical feasibility. The present energy system is based on 80 % fossil fuels. This situation will continue at least for the coming 20 years, since there are no innovations and no radical change of lifestyle to be expected within this time frame. The absolute level of energy consumption will raise. The rural - urban migration will continue. Scenarios of feasible energy developments may be characterized by fossil-, renewable and nuclear driven energy technologies. The worldwide energy resources are plentiful available and are sufficient even for a growing population. The conflicting objectives of the decision makers in the energy sector drive the energy dichotomies, the sustainability, and the effects of energy competition to an even more severe situation. System Engineering is an approach, which combines systems analysis and technology know-how and by which realistic and optimal energy solutions may be developed. Verbundplan uses System Engineering to plan and erect complex power systems, especially hydro power plants, to evaluate decisions in the energy and environmental field and to optimize investments and the operation of energy systems. (author)

Group Recommendation Systems Based on External Social-Trust Networks

Directory of Open Access Journals (Sweden)

Guang Fang

2018-01-01

Full Text Available With the development of social networks and online mobile communities, group recommendation systems support users’ interaction with similar interests or purposes with others. We often provide some advices to the close friends, such as listening to favorite music and sharing favorite dishes. However, users’ personalities have been ignored by the traditional group recommendation systems while the majority is satisfied. In this paper, a method of group recommendation based on external social-trust networks is proposed, which builds a group profile by analyzing not only users’ preferences, but also the social relationships between members inside and outside of the group. We employ the users’ degree of disagreement to adjust group preference rating by external information of social-trust network. Moreover, having a discussion about different social network utilization ratio, we proposed a method to work for smaller group size. The experimental results show that the proposed method has consistently higher precision and leads to satisfactory recommendations for groups.

Etoile Project : Social Intelligent ICT-System for very large scale education in complex systems

Science.gov (United States)

Bourgine, P.; Johnson, J.

2009-04-01

The project will devise new theory and implement new ICT-based methods of delivering high-quality low-cost postgraduate education to many thousands of people in a scalable way, with the cost of each extra student being negligible (Socially Intelligent Resource Mining system to gather large volumes of high quality educational resources from the internet; new methods to deconstruct these to produce a semantically tagged Learning Object Database; a Living Course Ecology to support the creation and maintenance of evolving course materials; systems to deliver courses; and a ‘socially intelligent assessment system'. The system will be tested on one to ten thousand postgraduate students in Europe working towards the Complex System Society's title of European PhD in Complex Systems. Étoile will have a very high impact both scientifically and socially by (i) the provision of new scalable ICT-based methods for providing very low cost scientific education, (ii) the creation of new mathematical and statistical theory for the multiscale dynamics of complex systems, (iii) the provision of a working example of adaptation and emergence in complex socio-technical systems, and (iv) making a major educational contribution to European complex systems science and its applications.

Assessing the Social Acceptability of the Functional Analysis of Problem Behavior

Science.gov (United States)

Langthorne, Paul; McGill, Peter

2011-01-01

Although the clinical utility of the functional analysis is well established, its social acceptability has received minimal attention. The current study assessed the social acceptability of functional analysis procedures among 10 parents and 3 teachers of children who had recently received functional analyses. Participants completed a 9-item…

A survey of social media data analysis for physical activity surveillance.

Science.gov (United States)

Liu, Sam; Young, Sean D

2018-07-01

Social media data can provide valuable information regarding people's behaviors and health outcomes. Previous studies have shown that social media data can be extracted to monitor and predict infectious disease outbreaks. These same approaches can be applied to other fields including physical activity research and forensic science. Social media data have the potential to provide real-time monitoring and prediction of physical activity level in a given region. This tool can be valuable to public health organizations as it can overcome the time lag in the reporting of physical activity epidemiology data faced by traditional research methods (e.g. surveys, observational studies). As a result, this tool could help public health organizations better mobilize and target physical activity interventions. The first part of this paper aims to describe current approaches (e.g. topic modeling, sentiment analysis and social network analysis) that could be used to analyze social media data to provide real-time monitoring of physical activity level. The second aim of this paper was to discuss ways to apply social media analysis to other fields such as forensic sciences and provide recommendations to further social media research. Copyright © 2016 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Factors influencing intentions to use social recommender systems: a social exchange perspective.

Science.gov (United States)

Chang, Tsung-Sheng; Hsiao, Wei-Hung

2013-05-01

This study employs the perspective of social exchange theory and seeks to understand users' intentions to use social recommender systems (SRS) through three psychological factors: trust, shared values, and reputation. We use structural equation modeling to analyze 221 valid questionnaires. The results show that trust has a direct positive influence on the intention to use SRS, followed by shared values, whereas reputation has an indirect influence on SRS use. We further discuss specific recommendations concerning these factors for developing SRS.

Social phenomena from data analysis to models

CERN Document Server

Perra, Nicola

2015-01-01

This book focuses on the new possibilities and approaches to social modeling currently being made possible by an unprecedented variety of datasets generated by our interactions with modern technologies. This area has witnessed a veritable explosion of activity over the last few years, yielding many interesting and useful results. Our aim is to provide an overview of the state of the art in this area of research, merging an extremely heterogeneous array of datasets and models. Social Phenomena: From Data Analysis to Models is divided into two parts. Part I deals with modeling social behavior under normal conditions: How we live, travel, collaborate and interact with each other in our daily lives. Part II deals with societal behavior under exceptional conditions: Protests, armed insurgencies, terrorist attacks, and reactions to infectious diseases. This book offers an overview of one of the most fertile emerging fields bringing together practitioners from scientific communities as diverse as social sciences, p...

Meta-analysis of social cognition in amyotrophic lateral sclerosis.

Science.gov (United States)

Bora, Emre

2017-03-01

Amyotrophic lateral sclerosis (ALS) is associated with executive dysfunction and behavioural impairment. Recent studies suggested that social cognitive deficits might also be a prominent feature of ALS. Current meta-analysis aimed to summarize available evidence for deficits in social cognition including theory of mind (ToM) and emotion recognition in ALS. In this meta-analysis of 15 studies, facial emotion recognition and ToM performances of 389 patients with ALS and 471 healthy controls were compared. ALS was associated with significant impairments with medium effect sizes in ToM (d = .65) and facial emotion recognition (d = .69). Among individual emotions recognition of disgust and surprise were particularly impaired. Deficits in perspective taking (d = .73) aspects of ToM (ToM-PT) was more pronounced in comparison to decoding (d = .28) aspects of ToM (ToM-decoding). The severity of social cognitive impairment was similar to level of executive dysfunction and there was a significant relationship between social cognition and executive dysfunction. Deficits in social cognition are part of the cognitive phenotype of ALS. Copyright © 2016 Elsevier Ltd. All rights reserved.

The correlation of social support with mental health: A meta-analysis

Science.gov (United States)

Harandi, Tayebeh Fasihi; Taghinasab, Maryam Mohammad; Nayeri, Tayebeh Dehghan

2017-01-01

Background and aim Social support is an important factor that can affect mental health. In recent decades, many studies have been done on the impact of social support on mental health. The purpose of the present study is to investigate the effect size of the relationship between social support and mental health in studies in Iran. Methods This meta-analysis was carried out in studies that were performed from 1996 through 2015. Databases included SID and Magiran, the comprehensive portal of human sciences, Noor specialized magazine databases, IRANDOC, Proquest, PubMed, Scopus, ERIC, Iranmedex and Google Scholar. The keywords used to search these websites included “mental health or general health,” and “Iran” and “social support.” In total, 64 studies had inclusion criteria meta-analysis. In order to collect data used from a meta-analysis worksheet that was made by the researcher and for data analysis software, CMA-2 was used. Results The mean of effect size of the 64 studies in the fixed-effect model and random-effect model was obtained respectively as 0.356 and 0.330, which indicated the moderate effect size of social support on mental health. The studies did not have publication bias, and enjoyed a heterogeneous effect size. The target population and social support questionnaire were moderator variables, but sex, sampling method, and mental health questionnaire were not moderator variables. Conclusion Regarding relatively high effect size of the correlation between social support and mental health, it is necessary to predispose higher social support, especially for women, the elderly, patients, workers, and students. PMID:29038699

Using social network and stakeholder analysis to help evaluate infectious waste management: A step towards a holistic assessment

International Nuclear Information System (INIS)

Caniato, Marco; Vaccari, Mentore; Visvanathan, Chettiyappan; Zurbrügg, Christian

2014-01-01

Highlights: • Assessment of infectious waste management in Bangkok, in particular incineration. • Integration of social network and stakeholder analysis assessment methods. • Assessment of stakeholder characteristics, role, interaction and communication. • Interviewees self-evaluate their own characteristics and the system. • Non-technical aspects are important for system acceptability, and sustainability. - Abstract: Assessing the strengths and weaknesses of a solid waste management scheme requires an accurate analysis and integration of several determining features. In addition to the technical aspects, any such system shows a complex interaction of actors with varying stakes, decision-making power and influence, as well as a favourable or disabling environment. When capitalizing on the knowledge and experience from a specific case, it is also crucial that experts do not “forget” or underestimate the importance of such social determinants and that they are familiar with the methods and tools to assess them. Social network analysis (SNA) and stakeholder analysis (SA) methods can be successfully applied to better understand actors’ role and actions, analyse driving forces and existing coordination among stakeholders, as well as identify bottlenecks in communication which affect daily operations or strategic planning for the future way forward. SNA and SA, appropriately adjusted for a certain system, can provide a useful integration to methods by assessing other aspects to ensure a comprehensive picture of the situation. This paper describes how to integrate SNA and SA in order to survey a solid waste management system. This paper presents the results of an analysis of On-Nuch infectious waste incinerator in Bangkok, Thailand. Stakeholders were interviewed and asked to prioritize characteristics and relationships which they consider particularly important for system development and success of the scheme. In such a way, a large quantity of information

Using social network and stakeholder analysis to help evaluate infectious waste management: A step towards a holistic assessment

Energy Technology Data Exchange (ETDEWEB)

Caniato, Marco, E-mail: marcocaniato@gmail.com [University of Brescia, Research Centre on Appropriate Technologies for Environmental Management in Developing Countries (CeTAmb), Via Branze, 43, 25123 Brescia (Italy); Vaccari, Mentore, E-mail: mentore.vaccari@unibs.it [University of Brescia, Research Centre on Appropriate Technologies for Environmental Management in Developing Countries (CeTAmb), Via Branze, 43, 25123 Brescia (Italy); Visvanathan, Chettiyappan, E-mail: visu@ait.ac.th [Asian Institute of Technology (AIT), School of Environment, Resources and Development (SERD), P.O. Box 4, Klong Luang, Pathumthani 12120 (Thailand); Zurbrügg, Christian, E-mail: zurbrugg@eawag.ch [University of Brescia, Research Centre on Appropriate Technologies for Environmental Management in Developing Countries (CeTAmb), Via Branze, 43, 25123 Brescia (Italy); Eawag: Swiss Federal Institute of Aquatic Science and Technology, Department of Water and Sanitation in Developing Countries (Sandec), Ueberlandstrasse 133, 8600 Duebendorf (Switzerland)

2014-05-01

Highlights: • Assessment of infectious waste management in Bangkok, in particular incineration. • Integration of social network and stakeholder analysis assessment methods. • Assessment of stakeholder characteristics, role, interaction and communication. • Interviewees self-evaluate their own characteristics and the system. • Non-technical aspects are important for system acceptability, and sustainability. - Abstract: Assessing the strengths and weaknesses of a solid waste management scheme requires an accurate analysis and integration of several determining features. In addition to the technical aspects, any such system shows a complex interaction of actors with varying stakes, decision-making power and influence, as well as a favourable or disabling environment. When capitalizing on the knowledge and experience from a specific case, it is also crucial that experts do not “forget” or underestimate the importance of such social determinants and that they are familiar with the methods and tools to assess them. Social network analysis (SNA) and stakeholder analysis (SA) methods can be successfully applied to better understand actors’ role and actions, analyse driving forces and existing coordination among stakeholders, as well as identify bottlenecks in communication which affect daily operations or strategic planning for the future way forward. SNA and SA, appropriately adjusted for a certain system, can provide a useful integration to methods by assessing other aspects to ensure a comprehensive picture of the situation. This paper describes how to integrate SNA and SA in order to survey a solid waste management system. This paper presents the results of an analysis of On-Nuch infectious waste incinerator in Bangkok, Thailand. Stakeholders were interviewed and asked to prioritize characteristics and relationships which they consider particularly important for system development and success of the scheme. In such a way, a large quantity of information

Analysis of health sector gender equality and social inclusion strategy 2009 of Nepal.

Science.gov (United States)

Mahara, G B; Dhital, S R

2014-01-01

The policy on gender equality and social inclusion (GESI) in health sector of Nepal is formulated in 2009 targeting toward poor, vulnerable, marginalized social and ethnic groups. Gender inequality and social discrimination are a social problem that affect on individual health finally. The main objective of this paper is to critically analysis and evaluates the Government's strategy on health sector gender equality and social inclusion in Nepal. We collected published and unpublished information assessing the public health, policy analysis and research needs from different sources. A different policy approaches for the analysis and evaluation of GESI strategies is applied in this paper. Universal education, community participation, individual, group and mass communication approaches, and social capital are the key aspects of effective implementation of policy at target levels.

Cyber-physical-social systems and constructs in electric power engineering

CERN Document Server

Suryanarayanan, Siddharth; Roche, Robin

2016-01-01

Cyber-physical-social systems (CPSS) integrate computing, physical assets and human networks. Divided into four application areas to the electric grid, this book describes state-of-the-art CPSS in electric power systems, including detailed approaches on social constructs which are a critical aspect of the end-user realm.

Scenarios in society, society in scenarios: toward a social scientific analysis of storyline-driven environmental modeling

International Nuclear Information System (INIS)

Garb, Yaakov; Pulver, Simone; VanDeveer, Stacy D

2008-01-01

Scenario analysis, an approach to thinking about alternative futures based on storyline-driven modeling, has become increasingly common and important in attempts to understand and respond to the impacts of human activities on natural systems at a variety of scales. The construction of scenarios is a fundamentally social activity, yet social scientific perspectives have rarely been brought to bear on it. Indeed, there is a growing imbalance between the increasing technical sophistication of the modeling elements of scenarios and the continued simplicity of our understanding of the social origins, linkages, and implications of the narratives to which they are coupled. Drawing on conceptual and methodological tools from science and technology studies, sociology and political science, we offer an overview of what a social scientific analysis of scenarios might include. In particular, we explore both how scenarios intervene in social microscale and macroscale contexts and how aspects of such contexts are embedded in scenarios, often implicitly. Analyzing the social 'work' of scenarios (i) can enhance the understanding of scenario developers and modeling practitioners of the knowledge production processes in which they participate and (ii) can improve the utility of scenario products as decision-support tools to actual, rather than imagined, decision-makers.

Pension Systems after the Storm: France and the United Kingdom in a Comparative Analysis

Directory of Open Access Journals (Sweden)

Christine Lagoutte

2012-08-01

Full Text Available All pension systems have been affected by the financial and economic crisis, although in different ways. This paper analyses the effects of the crisis on pension systems and the resulting responses and changes, and offers a theoretical interpretation of these responses. This interpretation focuses on the relationships between pension systems and broader socioeconomic institutional configurations, and between pension systems and other core, formative economic institutions, in order to explain the effects of the crisis, the nature of the reforms adopted by governments and the future outlook for pension systems. From this perspective, a comparative analysis of two pension systems with different approaches, the French system that relies heavily on social insurance and the primarily market-based British system, appears relevant in the interest of assessing how similar pressures and disruptions can produce different impacts and responses. The analysis shows that these pension systems' responses to the crisis have preserved the main institutional features of each configuration, and even reinforce some of them. Nevertheless, it appears that both systems are converging toward an institutionalization of a twofold social welfare system. The French system attempts to preserve the pension rights of core-workers on a mandatory social insurance basis, while non-standard workers benefit from tax-funded social solidarity measures. In the British system, the State intervenes to both extend secure pension fund enrolment to low income groups and to reinforce safety nets for lower income retirees. Finally, the recent changes have not called into question the fundamental logic of either pension system, although concerns are on the rise in respect of their future adequacy and sustainability

Analyzing user behavior across social sharing environments

NARCIS (Netherlands)

Meo, P.; Ferrara, E.; Abel, F.; Aroyo, L.M.; Houben, G.J

2015-01-01

In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the

Social Media Sentiment Analysis and Topic Detection for Singapore English

Science.gov (United States)

2013-09-01

study of NLP techniques,” La Revista de Procesamiento de Lenguaje Natural , vol. 50, pp. 45–52, 2013. [5] F. Batista, and R. Ribeiro, “Sentiment...have been made possible via social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing...social-media applications. Sentiment analysis and topic detection are two growing areas in Natural Language Processing, and there are increasing

Regression analysis for the social sciences

CERN Document Server

Gordon, Rachel A

2015-01-01

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic regression models using contemporary standards. Key features of the book include: interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

Cellular therapy injections in today's orthopedic market: A social media analysis.

Science.gov (United States)

Ramkumar, Prem N; Navarro, Sergio M; Haeberle, Heather S; Chughtai, Morad; Demetriades, Christopher; Piuzzi, Nicolas S; Mont, Michael A; Bauer, Thomas W; Muschler, George F

2017-12-01

The current state of cellular therapy for musculoskeletal conditions is at a crossroads. Marketing efforts are often outpacing clinical evidence and regulatory control. This study was an effort to describe the marketing of cellular therapy in musculoskeletal medicine by evaluating the content in popular social media channels. Specifically, media posts were evaluated for the following: (1) perspective, (2) tone, (3) content and (4) visibility. Social media content related to cell therapy for musculoskeletal conditions was assessed in a search using 28 hashtags on the public domains of Instagram and Twitter over a 2-year period (2014-2016) that resulted in analysis of 698 posts. Supplemental analyses of LinkedIn and Facebook domains were also conducted. A categorical scoring system was used to analyze perspective (patient, family or friend, business or organization), tone (positive, negative), content (education, advertisement, research, media coverage or patient experience) and visibility (number of hashtags per post). Sub-analyses of the advertisement content from various perspectives (patients, physicians and businesses) were performed. The media perspective was most frequently from a business or organization (83%; n = 575). A total of 94% of the posts had a positive tone and only 6% had a negative tone, and the only negative posts came from patients (60% positive and 40% negative). The most common content of social media posts were advertisements, representing 68% (n = 477) of all posts; this was confirmed in the Facebook analysis. The mean number of hashtags was five per post. Sub-analyses revealed approximately half of the advertising posts originated from a single business that recruited physicians to market their cell-based therapies on social media, which was confirmed in the LinkedIn analysis. The market messages related to cell-based therapies for musculoskeletal conditions available on social media are dominated by businesses that seem to use a

Citation analysis: A social and dynamic approach to knowledge organization

DEFF Research Database (Denmark)

Hjørland, Birger

2013-01-01

Knowledge organization (KO) and bibliometrics have traditionally been seen as separate subfields of library and information science, but bibliometric techniques make it possible to identify candidate terms for thesauri and to organize knowledge by relating scientific papers and authors to each...... be considered superior for all purposes. The main difference between traditional knowledge organization systems (KOSs) and maps based on citation analysis is that the first group represents intellectual KOSs, whereas the second represents social KOSs. For this reason bibliometric maps cannot be expected ever...... other and thereby indicating kinds of relatedness and semantic distance. It is therefore important to view bibliometric techniques as a family of approaches to KO in order to illustrate their relative strengths and weaknesses. The subfield of bibliometrics concerned with citation analysis forms...