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2018 A review of dynamic network models with latent variables
Bomin Kim, Kevin H. Lee, Lingzhou Xue, Xiaoyue Niu
Statist. Surv. 12: 105-135 (2018). DOI: 10.1214/18-SS121


We present a selective review of statistical modeling of dynamic networks. We focus on models with latent variables, specifically, the latent space models and the latent class models (or stochastic blockmodels), which investigate both the observed features and the unobserved structure of networks. We begin with an overview of the static models, and then we introduce the dynamic extensions. For each dynamic model, we also discuss its applications that have been studied in the literature, with the data source listed in Appendix. Based on the review, we summarize a list of open problems and challenges in dynamic network modeling with latent variables.


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Bomin Kim. Kevin H. Lee. Lingzhou Xue. Xiaoyue Niu. "A review of dynamic network models with latent variables." Statist. Surv. 12 105 - 135, 2018.


Received: 1 November 2017; Published: 2018
First available in Project Euclid: 3 September 2018

zbMATH: 06932495
MathSciNet: MR3850294
Digital Object Identifier: 10.1214/18-SS121

Primary: 62-02 , 62-07
Secondary: 05C90

Keywords: Dynamic networks , Latent space model , latent variable model , social network analysis , stochastic blockmodel


Vol.12 • 2018
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