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.

Table of Contents

PART I: METHODOLOGIES FOR INTERDISCIPLINARY SOCIAL NETWORK RESEARCH
Chapter 1 Methods For Interdisciplinary Social Network Studies
Chapter 2 Towards Transdisciplinary Collaboration Between Computer And Social Scientists: Initial Experiences And Reflections
Chapter 3 How Much Sharing Is Enough? Cognitive Patterns In Building Interdisciplinary Collaborations

PART II: SOCIAL NETWORK STRUCTURE
Chapter 4 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 Prediction Of Venture Capital Coinvestment Based On Structural Balance Theory
Chapter 7 Repeated Cooperation Matters: An Analysis Of Syndication In The Chinese Vc Industry By Ergm

PART III: SOCIAL NETWORK BEHAVIORS
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 Codetection Approach

PART IV: SOCIAL NETWORKS AS COMPLEX SYSTEMS AND THEIR APPLICATIONS
Chapter 10 Cultural Anthropology Through The Lens Of Wikipedia
Chapter 11 From Social Networks To Time Series: Methods And Applications
Chapter 12 Population Growth In Online Social Networks

PART V: COLLABORATION AND INFORMATION DISSEMINATION IN SOCIAL NETWORKS
Chapter 13 Information Dissemination In Social-Featured Opportunistic Networks
Chapter 14 Information Flows In Patient-Oriented Online Media And Scientific Research
Chapter 15 Mining Big Data For Analyzing And Simulating Collaboration Factors Influencing Software Development Decisions