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

Johannes van der Pol

Working Papers from HAL

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.

Keywords: ERGM; Social and economic networks; Exponential Random Graph Model; P-star; Innovation networks (search for similar items in EconPapers)
Date: 2017-10-17
New Economics Papers: this item is included in nep-net
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