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

Song Yang (Ph.D., University of Minnesota, 2002) is a professor of sociology and criminology at the University of Arkansas. His teaching and research areas are social network analysis, including business, economic, and organizational networks, work and organization studies, and social statistics. He published many articles and chapters, with the most recent ones on Journal of Business Research and Nonprofit and Voluntary Sector Quarterly. He has written several books, including Social Network Analysis (2008, with David Knoke), The Invisible Hands of Political Parties in Presidential Elections: Party Activists and Political Aggregation from 2004 to 2012 (2013, with Andrew Dowdle, Scott Limbocker, Patrick Stewart, and Karen Sebold), and Social Network Analysis: Methods and Examples (2016, with Franziska Keller, and Lu Zheng).

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