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Social Network Analysis

Interdisciplinary Approaches and Case Studies

Gebonden Engels 2017 1e druk 9781498736640
€ 214,60
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Samenvatting

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.

Specificaties

ISBN13:9781498736640
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:396
Uitgever:CRC Press
Druk:1

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Inhoudsopgave

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

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          Social Network Analysis