Title:
Social Network Analysis : methods and examples
Personal Author:
Physical Description:
xii, 231 pages : illustrations ; 23 cm.
ISBN:
9781483325217
Subject Term:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 33000000002373 | HM741 Y37 2017 | Open Access Book | Book | Searching... |
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Summary
Summary
Social Network Analysis: Methods and Examples prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. 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 organizations, mental and physical health, and crime and terrorism studies.
Table of Contents
| Preface | p. vii |
| About the Authors | p. xi |
| Chapter 1 Basics of Social Network Analysis | p. 2 |
| 1.1 Introduction | p. 3 |
| 1.2 The Social Network and How to Represent It | p. 5 |
| 1.3 Types of Networks | p. 10 |
| 1.4 Network Parts and Levels of Analysis | p. 14 |
| 1.5 Networks as Social Structure and Institution | p. 18 |
| 1.6 Theoretical Assumptions | p. 18 |
| 1.7 Causality in Social Network Studies | p. 20 |
| 1.8 A Brief History of Social Network Analysis | p. 22 |
| Chapter 2 Data Collection | p. 26 |
| 2.1 Boundary Specification | p. 28 |
| 2.2 Data Collection Process | p. 35 |
| 2.3 Informant Bias and Issue of Reliability | p. 42 |
| 2.4 Archival Data | p. 45 |
| Chapter 3 Descriptive Methods in Social Network Analysis | p. 54 |
| 3.1 Graph and Matrix-Social Network Representation | p. 56 |
| 3.2 Density | p. 58 |
| 3.3 Centrality, Centralization, and Prestige | p. 61 |
| 3.4 Cliques | p. 70 |
| 3.5 Multidimensional Scaling (MDS) and Dendogram | p. 73 |
| 3.6 Structural Equivalence | p. 75 |
| 3.7 Two-Mode Networks and Bipartite Matrix | p. 79 |
| Chapter 4 Inferential Methods in Social Network Analysis | p. 86 |
| 4.1 Permutation and QAP [Quadratic Assignment Procedure] Correlation | p. 87 |
| 4.2 P* or Exponential Random Graph Model (ERGM) | p. 93 |
| Chapter 5 Social Network Analysis of Work and Organizations | p. 102 |
| 5.1 Personal Connections and Labor Market Processes | p. 104 |
| 5.2 Intra-Organizational Networks | p. 111 |
| 5.3 Inter-Organizational Relations | p. 127 |
| Chapter 6 Social Network Analysis in Crime and Terrorism | p. 138 |
| 6.1 Personal Networks, Delinquency, and Crime | p. 139 |
| 6.2 Neighborhood Networks | p. 144 |
| 6.3 Criminal Networks | p. 147 |
| 6.4 Analyzing Social Networks of Terror | p. 151 |
| Chapter 7 Social Network Analysis in Emotional and Physical Health | p. 158 |
| 7.1 Social Network Analysis and Emotional Health | p. 160 |
| 7.2 Social Network Analysis in Physical Fitness | p. 163 |
| 7.3 Social Network Analysis and Illicit Drug Use | p. 166 |
| 7.4 Social Network Analysis and Sexually Transmitted Disease | p. 169 |
| Chapter 8 Political Networks | p. 174 |
| 8.1 American Politics | p. 177 |
| 8.2 Networks in International Relations | p. 192 |
| Glossary | p. 201 |
| References | p. 209 |
| Index | p. 225 |
