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.

Data Collection

Learning Objectives

  • Describe the six sampling methods when conducting a full network study
  • Explain the differences between realist and nominalist strategies when specifying network boundaries
  • Compare and contrast the positional, relational, and event-based approaches when defining network boundaries
  • Design the name generator, positional generator, and resource generator when collecting data for the egocentric network
  • Discuss the major differences between full network analysis and egocentric network studies
  • Explain the informant bias and the issues of reliability and validity when evaluating social network data
  • Examine various archival methods when collecting and preparing data for social network analysis

This chapter discusses issues related to collecting data for social network analysis. We will start by distinguishing between egocentric network studies and full or complete network studies but later also discuss approaches like snowball ...

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