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20142023
most citedBlockmodels: A R-package for estimating in Latent Block Model and Stochastic Block Model, with various probability functions, with or without covariates

21 citations · 30 across the 5 of their papers we have counts for

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stat.CO2014★ 7 cited

Wmixnet: Software for Clustering the Nodes of Binary and Valued Graphs using the Stochastic Block Model

Jean-Benoist Leger

Clustering the nodes of a graph allows the analysis of the topology of a network. The stochastic block model is a clustering method based on a probabilistic model. Initially develo…