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Exponential random graph models

Known as: Exponential random graph model 
Exponential random graph models (ERGMs) are a family of statistical models for analyzing data about social and other networks.
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Papers overview

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2016
2016
Research summary: This article uses Exponential Random Graph Models (ERGMs) to advance strategic management research, focusing on… Expand
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2016
2016
Abstract The exponential random graph model (ERGM) is a well-established statistical approach to modelling social network data… Expand
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Highly Cited
2013
Highly Cited
2013
We introduce a method for the theoretical analysis of exponential random graph models. The method is based on a large-deviations… Expand
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Highly Cited
2013
Highly Cited
2013
a b s t r a c t Modern multilevel analysis, whereby outcomes of individuals within groups take into account group membership, has… Expand
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Highly Cited
2013
Highly Cited
2013
Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social… Expand
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Highly Cited
2011
Highly Cited
2011
Methods for descriptive network analysis have reached statistical maturity and general acceptance across the social sciences in… Expand
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Highly Cited
2011
Highly Cited
2011
Abstract Exponential random graph models are extremely difficult models to handle from a statistical viewpoint, since their… Expand
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Highly Cited
2009
Highly Cited
2009
  • P. Wang
  • Soc. Networks
  • 2009
  • Corpus ID: 14207326
Abstract Recent advances in Exponential Random Graph Models (ERGMs), or p ∗ models, include new specifications that give a much… Expand
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Highly Cited
2009
Highly Cited
2009
Abstract The new higher order specifications for exponential random graph models introduced by Snijders et al. [Snijders, T.A.B… Expand
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Highly Cited
2002
Highly Cited
2002
This paper is about estimating the parameters of the exponential random graph model, also known as the p∗ model, using… Expand
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