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Journal Articles ESAIM: Proceedings Year : 2014

Modeling heterogeneity in random graphs through latent space models: a selective review

Abstract

We present a selective review on probabilistic modeling of heterogeneity in random graphs. We focus on latent space models and more particularly on stochastic block models and their extensions that have undergone major developments in the last five years.
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Dates and versions

hal-00948421 , version 1 (18-02-2014)
hal-00948421 , version 2 (24-09-2014)

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Catherine Matias, Stéphane Robin. Modeling heterogeneity in random graphs through latent space models: a selective review. ESAIM: Proceedings, 2014, MMCS, Mathematical Modelling of Complex Systems, 47, pp.55 - 74. ⟨10.1051/proc/201447004⟩. ⟨hal-00948421v2⟩
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