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We present a selective review on probabilistic modeling of heterogeneity inrandom graphs. We focus on latent space models and more particularly onstochastic block models and their extensions that have undergone majordevelopments in the last five years.

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