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Social Network Analysis: Methods and Examples de Song Yang

Social Network Analysis: Methods and Examples

Autor Song Yang, Franziska B Keller, Lu Zheng
en Limba Engleză Paperback – 10 ian 2017
This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organisations, mental and physical health, and crime and terrorism studies.
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Specificații

ISBN-13: 9781483325217
ISBN-10: 1483325210
Pagini: 248
Dimensiuni: 187 x 232 x 16 mm
Greutate: 0.39 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

“In the growing literature on social networks, Social Network Analysis: Methods and Examples stands out for the authors' ability to introduce readers to key network theoretical concepts, methodology, and applications in a variety of fields in a very accessible and clear fashion.”
“An excellent introduction to the emerging field of social networks, providing the foundation to become engaged in the practice of social network analysis.”
“The book offers a series of vivid examples to demonstrate the utilities of network analysis in a variety of contexts—that is something valuable and that separates this book from others.”
“This is a solid introductory text that illustrates the value of social network analysis in a multiple contexts.”

Cuprins

Preface
About the Authors
Chapter 1: Basics of Social Network Analysis
1.1 Introduction
1.2 The Social Network and How to Represent It
1.3 Types of Networks
1.4 Network Parts and Levels of Analysis
1.5 Networks as Social Structure and Institution
1.6 Theoretical Assumptions
1.7 Causality in Social Network Studies
1.8 A Brief History of Social Network Analysis
Chapter 2: Data Collection
2.1 Boundary Specification
2.2 Data Collection Process
2.3 Informant Bias and Issue of Reliability
2.4 Archival Data
Chapter 3: Descriptive Methods in Social Network Analysis
3.1 Graph and Matrix–Social Network Representation
3.2 Density
3.3 Centrality, Centralization, and Prestige
3.4 Cliques
3.5 Multidimensional Scaling (MDS) and Dendogram
3.6 Structural Equivalence
3.7 Two-Mode Networks and Bipartite Matrix
Chapter 4: Inferential Methods in Social Network Analysis
4.1 Permutation and QAP (Quadratic Assignment Procedure) Correlation
4.2 P* or Exponential Random Graph Model (ERGM)
Chapter 5: Social Network Analysis of Work and Organizations
5.1 Personal Connections and Labor Market Processes
5.2 Intra-Organizational Networks
5.3 Inter-Organizational Relations
Chapter 6: Social Network Analysis in Crime and Terrorism
6.1 Personal Networks, Delinquency, and Crime
6.2 Neighborhood Networks
6.3 Criminal Networks
6.4 Analyzing Social Networks of Terror
Chapter 7: Social Network Analysis in Emotional and Physical Health
7.1 Social Network Analysis and Emotional Health
7.2 Social Network Analysis in Physical Fitness
7.3 Social Network Analysis and Illicit Drug Use
7.4 Social Network Analysis and Sexually Transmitted Disease
Chapter 8: Political Networks
8.1 American Politics
8.2 Networks in International Relations
Glossary
References
Index

Notă biografică

Descriere

Prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields.