Exponential Random Graph Models for Social Networks

Dean Lusher, Johan Koskinen, Garry Robins ★ 3.5/5 · ItemOracle Score Mid-Range

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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications (Structural Analysis in the Social Sciences, Series Number 35)

Overview of theory, methods, and applications of exponential random graph models in social networks. Includes insights on writing quality and knowledge literacy from readers

Highlights

  • theory-focused coverage
  • application-oriented
  • readable scholarship

Pros

  • Comprehensive treatment of theory and methods
  • Structured for social science researchers
  • Positive reader remarks on writing quality and usefulness

Cons

  • Some may seek more practical code examples
  • N/A data on features

Best For

  • academic research on social networks
  • sociology measurement studies
  • methodology development in social science

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