Social Network Analysis
Interdisciplinary Approaches and Case Studies
Herausgeber: Fu, Xiaoming; Boos, Margarete; Luo, Jar-Der
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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 differen
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 differen
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 396
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 576g
- ISBN-13: 9780367573782
- ISBN-10: 0367573784
- Artikelnr.: 69893844
- Verlag: CRC Press
- Seitenzahl: 396
- Erscheinungstermin: 30. Juni 2020
- Englisch
- Abmessung: 234mm x 156mm x 21mm
- Gewicht: 576g
- ISBN-13: 9780367573782
- ISBN-10: 0367573784
- Artikelnr.: 69893844
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 Luo's 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 Luo's 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
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
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
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