Social Network Analysis Interdisciplinary Approaches and Case Studies

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.

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

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 Netwo