Open Access
2010 Discrete temporal models of social networks
Steve Hanneke, Wenjie Fu, Eric P. Xing
Electron. J. Statist. 4: 585-605 (2010). DOI: 10.1214/09-EJS548


We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs). Many of the methods for ERGMs are readily adapted for these models, including maximum likelihood estimation algorithms. We discuss models of this type and their properties, and give examples, as well as a demonstration of their use for hypothesis testing and classification. We believe our temporal ERG models represent a useful new framework for modeling time-evolving social networks, and rewiring networks from other domains such as gene regulation circuitry, and communication networks.


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Steve Hanneke. Wenjie Fu. Eric P. Xing. "Discrete temporal models of social networks." Electron. J. Statist. 4 585 - 605, 2010.


Published: 2010
First available in Project Euclid: 16 June 2010

zbMATH: 1329.91113
MathSciNet: MR2660534
Digital Object Identifier: 10.1214/09-EJS548

Rights: Copyright © 2010 The Institute of Mathematical Statistics and the Bernoulli Society

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