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Introduction to Network Modeling Using Exponential Random Graph Models (ERGM): Theory and an Application Using R-Project

Author

Listed:
  • Johannes van Der Pol

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

Exponential family random graph models (ERGM) are increasingly used in the study of social networks. These models are build to explain the global structure of a network while allowing inference on tie prediction on a micro level. The number of papers within economics is however limited. Possible applications for economics are however abundant. The aim of this document is to provide an explanation of the basic mechanics behind the models and provide a sample code (using R and the packages statnet and ERGM) to operationalize and interpret results and analyse goodness of fit. After reading this paper the reader should be able to start their own analysis.

Suggested Citation

  • Johannes van Der Pol, 2018. "Introduction to Network Modeling Using Exponential Random Graph Models (ERGM): Theory and an Application Using R-Project," Post-Print hal-02486328, HAL.
    • Handle: RePEc:hal:journl:hal-02486328
    DOI: 10.1007/s10614-018-9853-2
    as

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