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Introduction to network modeling using Exponential Random Graph models (ERGM)

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 paper within economics is however limited. 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 analyze goodness of fit. After reading this paper the reader should be able to launch their own analysis.
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https://hal.archives-ouvertes.fr/hal-01284994
Contributor : Johannes van der Pol <>
Submitted on : Tuesday, October 17, 2017 - 8:53:34 AM
Last modification on : Thursday, January 11, 2018 - 6:21:22 AM
Document(s) archivé(s) le : Thursday, January 18, 2018 - 12:34:49 PM

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Johannes van der Pol. Introduction to network modeling using Exponential Random Graph models (ERGM). 2017. ⟨hal-01284994v2⟩

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