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A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model

Leifeld, Philip and Cranmer, Skyler J (2019) 'A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model.' Network Science, 7 (1). 20 - 51. ISSN 2050-1242

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Abstract

The temporal exponential random graph model (TERGM) and the stochastic actor-oriented model (SAOM, e.g., SIENA) are popular models for longitudinal network analysis. We compare these models theoretically, via simulation, and through a real-data example in order to assess their relative strengths and weaknesses. Though we do not aim to make a general claim about either being superior to the other across all specifications, we highlight several theoretical differences the analyst might consider and find that with some specifications, the two models behave very similarly, while each model out-predicts the other one the more the specific assumptions of the respective model are met.

Item Type: Article
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Elements
Date Deposited: 29 Aug 2019 09:22
Last Modified: 29 Aug 2019 09:22
URI: http://repository.essex.ac.uk/id/eprint/25225

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