Social Network Analysis: Interdisciplinary Approaches and Case Studies 1st Edition Xiaoming Fu

PART I: METHODOLOGIES FOR INTERDISCIPLINARY SOCIAL NETWORK RESEARCH

1 Methods for Interdisciplinary Social Network Studies

2 Towards Transdisciplinary Collaboration between Computer and Social Scientists: Initial Experience

3 How Much Sharing Is Enough? Cognitive Patterns in Building Interdisciplinary Collaborations

PART II: SOCIAL NETWORK STRUCTURE

4 Measurement of Guanxi Circles: Using Qualitative Study to Modify Quantitative Measurement

5 Analysis and Prediction of Triadic Closure in Online Social Networks

6 Prediction of Venture Capital Coinvestment Based on Structural Balance Theory

7 Repeated Cooperation Matters: An Analysis of Syndication in the Chinese VC Industry by ERGM

PART III: SOCIAL NETWORK BEHAVIORS

8 Patterns of Group Movement on a Virtual Playfield: Empirical and Simulation Approaches

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

10 Cultural Anthropology through the Lens of Wikipedia

11 From Social Networks to Time Series: Methods and Applications

12 Population Growth in Online Social Networks

PART V: COLLABORATION AND INFORMATION DISSEMINATION IN SOCIAL NETWORKS

13 Information Dissemination in Social-Featured Opportunistic Networks

14 Information Flows in Patient-Oriented Online Media and Scientific Research

15 Mining Big Data for Analyzing and Simulating Collaboration Factors Influencing Software Developme