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.

Descriptive Methods in Social Network Analysis
Learning Objectives
  • Describe the relations between social network graphs and matrices
  • Calculate the density measure for the entire network, and interpret the results
  • Calculate and interpret centrality, centralization, and prestige for nodes and entire networks
  • Examine various methods to measure cliques and subgroups in networks
  • Demonstrate different visualization methods in social network analysis, such as multidimensional scaling and dendograms and their applications when analyzing structures of networks and positions of actors within it
  • Calculate structural equivalence when examining relations between pairs of actors
  • Examine bipartite matrices as a way to analyze social networks with heterogeneous nodes

The previous chapter discussed research designs to collect social network data. But it can be hard to understand what is going on in even a small network without statistical ...

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