Social Network Analysis
Interdisciplinary Approaches and Case Studies
Herausgeber: Fu, Xiaoming; Boos, Margarete; Luo, Jar-Der
Social Network Analysis
Interdisciplinary Approaches and Case Studies
Herausgeber: Fu, Xiaoming; Boos, Margarete; Luo, Jar-Der
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The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies.
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The book addresses the issue of interdisciplinary understanding of collaboration on the topic of social network studies. Researchers and practitioners from various disciplines including sociology, computer science, socio-psychology, public health, complex systems, and management science have worked largely independently, each with quite different principles, terminologies, theories. and methodologies. The book aims to fill the gap among these disciplines with a number of the latest interdisciplinary collaboration studies.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 396
- Erscheinungstermin: 21. März 2017
- Englisch
- Abmessung: 229mm x 157mm x 28mm
- Gewicht: 699g
- ISBN-13: 9781498736640
- ISBN-10: 1498736645
- Artikelnr.: 47967134
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 396
- Erscheinungstermin: 21. März 2017
- Englisch
- Abmessung: 229mm x 157mm x 28mm
- Gewicht: 699g
- ISBN-13: 9781498736640
- ISBN-10: 1498736645
- Artikelnr.: 47967134
Xiaoming Fu obtained his Ph.D. degree in Computer Science from Tsinghua University, China in 2000. He worked as a research staff at Technical University Berlin before joining the University of Göttingen, Germany in 2002, where he has been a Professor and heading the Computer Networks Group since 2007. His research areas include architecture, protocols and applications of Internet-based communication systems, including information dissemination, cloud computing, and social networks/social computing. He is an IEEE Senior Member and an IEEE Communications Society Distinguished Lecturer. He served as Secretary (2008-2010) and Vice Chair (2010-2012) of IEEE Communications Society Technical Committee on Computer Communications (TCCC), then Chair (2011-2013) of the Internet Technical Committee of the IEEE Communications Society and the Internet Society. Currently he serves on the editorial boards of IEEE Communications Magazine, IEEE Transactions on Service and Network Management, Elsevier Computer Networks and Computer Communications journals. Professor Jar-der Luo is a professor of sociology and director of Center for Social Network Research, Tsinghua University, Beijing, China. He is also a joint professor in the Management School of the Tsinghua University in Taiwan. He got his bachelor degree in 1982 from National Taiwan University, master and PHD from State University of New York at Stony Brook. His teaching focuses on theory of social capital, social network analysis, and organizational theory. He also teaches management courses in many other oversea and domestic business schools. Professor Luös research endeavors to bring social network, especially Chinese Guangxi, into analysis of economic behaviors and business management. With others, he is trying to set up a research committee on social network analysis. Professor Luo has published widely in oversea and domestic academic journals. He has written The Chinese Trust Game, Textbook of Social Network Analysis and other books. Professor Luös main research interests include organization research, social network analysis, and economic sociology. Margarete Boos is professor and head of the Department of Social and Communication Psychology at University of Göttingen, Germany. She got her PhD on sociology from University of Bonn, Germany, in 1983. Her research interest include Social-psychological group research, Methods for the analysis of interactions and communication, Computer-based communication in groups and organizations, and Group coordination, etc.
Preface Chapter 1
Methods for Interdisciplinary Social Network Studies Chapter 2
Reflectsion on Initial Experiences with Transdisciplinary Engagement between Computer Science and the Social Sciences Chapter 3
How Much Sharing is Enough? Cognitive Patters in Interdisciplinary Collaborations Chapter 4
The Measurement of Guanxi Circles
Using Qualitative Study to Modify Quantitative Measurement Chapter 5
Analysis and Prediction of Triadic Closure in Online Social Networks Chapter 6
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory Chapter 7
Repeated Cooperation Matters
An Analysis of Syndication in the Chinese VC Industry by ERGM Model Chapter 8
Patterns of Group Movement on a Virtual Playfield
Empirical and Simulation Approaches Chapter 9
Social Spammer and Spam Message Detection in an Online Social Network
A Co-Detection Approach via Exploiting Social Contexts Chapter 10
Cultural Anthropology through the Lens of Wikipedia Chapter 11
From Social Networks to Time Series: Metho9ds and Applications Chapter 12
How Do Online Social Networks Grow? Chapter 13
Information Dissemination in Social-Featured Opportunistic Networks Chapter 14
Sources of Information and Behavioural Patterns in Health Online For a Chapter 15
Mining Big Data for Analyzing and Simulating Collaboration Factors Influencing Software Development Decisions
Methods for Interdisciplinary Social Network Studies Chapter 2
Reflectsion on Initial Experiences with Transdisciplinary Engagement between Computer Science and the Social Sciences Chapter 3
How Much Sharing is Enough? Cognitive Patters in Interdisciplinary Collaborations Chapter 4
The Measurement of Guanxi Circles
Using Qualitative Study to Modify Quantitative Measurement Chapter 5
Analysis and Prediction of Triadic Closure in Online Social Networks Chapter 6
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory Chapter 7
Repeated Cooperation Matters
An Analysis of Syndication in the Chinese VC Industry by ERGM Model Chapter 8
Patterns of Group Movement on a Virtual Playfield
Empirical and Simulation Approaches Chapter 9
Social Spammer and Spam Message Detection in an Online Social Network
A Co-Detection Approach via Exploiting Social Contexts Chapter 10
Cultural Anthropology through the Lens of Wikipedia Chapter 11
From Social Networks to Time Series: Metho9ds and Applications Chapter 12
How Do Online Social Networks Grow? Chapter 13
Information Dissemination in Social-Featured Opportunistic Networks Chapter 14
Sources of Information and Behavioural Patterns in Health Online For a Chapter 15
Mining Big Data for Analyzing and Simulating Collaboration Factors Influencing Software Development Decisions
Preface Chapter 1
Methods for Interdisciplinary Social Network Studies Chapter 2
Reflectsion on Initial Experiences with Transdisciplinary Engagement between Computer Science and the Social Sciences Chapter 3
How Much Sharing is Enough? Cognitive Patters in Interdisciplinary Collaborations Chapter 4
The Measurement of Guanxi Circles
Using Qualitative Study to Modify Quantitative Measurement Chapter 5
Analysis and Prediction of Triadic Closure in Online Social Networks Chapter 6
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory Chapter 7
Repeated Cooperation Matters
An Analysis of Syndication in the Chinese VC Industry by ERGM Model Chapter 8
Patterns of Group Movement on a Virtual Playfield
Empirical and Simulation Approaches Chapter 9
Social Spammer and Spam Message Detection in an Online Social Network
A Co-Detection Approach via Exploiting Social Contexts Chapter 10
Cultural Anthropology through the Lens of Wikipedia Chapter 11
From Social Networks to Time Series: Metho9ds and Applications Chapter 12
How Do Online Social Networks Grow? Chapter 13
Information Dissemination in Social-Featured Opportunistic Networks Chapter 14
Sources of Information and Behavioural Patterns in Health Online For a Chapter 15
Mining Big Data for Analyzing and Simulating Collaboration Factors Influencing Software Development Decisions
Methods for Interdisciplinary Social Network Studies Chapter 2
Reflectsion on Initial Experiences with Transdisciplinary Engagement between Computer Science and the Social Sciences Chapter 3
How Much Sharing is Enough? Cognitive Patters in Interdisciplinary Collaborations Chapter 4
The Measurement of Guanxi Circles
Using Qualitative Study to Modify Quantitative Measurement Chapter 5
Analysis and Prediction of Triadic Closure in Online Social Networks Chapter 6
The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory Chapter 7
Repeated Cooperation Matters
An Analysis of Syndication in the Chinese VC Industry by ERGM Model Chapter 8
Patterns of Group Movement on a Virtual Playfield
Empirical and Simulation Approaches Chapter 9
Social Spammer and Spam Message Detection in an Online Social Network
A Co-Detection Approach via Exploiting Social Contexts Chapter 10
Cultural Anthropology through the Lens of Wikipedia Chapter 11
From Social Networks to Time Series: Metho9ds and Applications Chapter 12
How Do Online Social Networks Grow? Chapter 13
Information Dissemination in Social-Featured Opportunistic Networks Chapter 14
Sources of Information and Behavioural Patterns in Health Online For a Chapter 15
Mining Big Data for Analyzing and Simulating Collaboration Factors Influencing Software Development Decisions