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.

Basics of Social Network Analysis
Learning Objectives
  • Describe basic concepts in social network analysis (SNA) such as nodes, actors, and ties or relations
  • Identify different types of social networks, such as directed or undirected, binary or valued, and bipartite or one-mode
  • Assess research designs in social network research, and distinguish sampling units, relational forms and contents, and levels of analysis
  • Identify network actors at different levels of analysis (e.g., individuals or aggregate units) when reading social network literature
  • Describe bipartite networks, know when to use them, and what their advantages are
  • Explain the three theoretical assumptions that undergird social network studies
  • Discuss problems of causality in social network analysis, and suggest methods to establish causality in network studies
1.1 Introduction

The term “social network” entered everyday language with the advent of the ...

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