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

Published online by Cambridge University Press:  22 April 2022

Philip Leifeld  and
Skyler J. Cranmer
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Abstract

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Keywords

p*ERGMTERGMSAOMtemporal exponential random graph modelstochastic actor-oriented model
Type
Corrigendum
Information
Network Science , Volume 10 , Issue 1 , March 2022 , pp. 111
Copyright
© The Author(s), 2022. Published by Cambridge University Press

In this article (Leifeld and Cranmer Reference Leifeld and Cranmer2019a), three of the thirteen model terms in the TERGM in Section 4 are contaminated by observations originating from the time step that is held out for out-of-sample assessment of model fit. This circularity invalidates the model comparison in the empirical example that was used for illustration.

The authors would like to thank Block et al. (Reference Block, Hollway, Stadtfeld, Koskinen and Snijders2022) for pointing to the error and refer readers to their response to Block et al. (Leifeld and Cranmer Reference Leifeld and Cranmer2022). This exchange is briefly discussed in the Editors’ Note by Wasserman and Brandes (Reference Wasserman and Brandes2022).

The authors would also like to note to readers that the replication data for the original study is available in the Dataverse repository (Leifeld and Cranmer Reference Leifeld and Cranmer2019b).

References

Block, P., Hollway, J., Stadtfeld, C., Koskinen, J., & Snijders, T. (2022). Circular specifications and “predicting” with information from the future: Errors in the empirical SAOM–TERGM comparison of Leifeld & Cranmer. Network Science, 10(1). https://doi.org/10.1017/nws.2022.6CrossRefGoogle Scholar
Leifeld, P., & Cranmer, S. (2019a). A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model. Network Science, 7(1), 20–51. https://doi.org/10.1017/nws.2018.26CrossRefGoogle Scholar
Leifeld, P., & Cranmer, S. (2019b). Replication Data for: A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-Oriented Model, https://doi.org/10.7910/DVN/NEM2XU, Harvard Dataverse, V1.CrossRefGoogle Scholar
Leifeld, P., & Cranmer, S. (2022). The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests. Network Science, 10(1). https://doi.org/10.1017/nws.2022.7CrossRefGoogle Scholar
Wasserman, S., & Brandes, U. (2022) Editors’ Note. Network Science, 10(1). https://doi.org/10.1017/nws.2022.8CrossRefGoogle Scholar