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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

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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