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.
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