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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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https://hal.archives-ouvertes.fr/hal-00948421
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Submitted on : Wednesday, September 24, 2014 - 9:50:16 AM
Last modification on : Wednesday, September 28, 2022 - 3:14:14 PM
Long-term archiving on: : Friday, April 14, 2017 - 11:48:08 AM

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

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