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Stochastic block model (SBM) - Machine Learning Glossary

Stochastic block model (SBM) The stochastic block model is a common model for detection of community structure. Related Terms. Community detection; Community structure; Last modified December 24, 2017 . This work is licensed under a Creative Commons Attribution 4.0 …


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The stochastic block model (SBM) is a random graph model with planted clusters. It is widely employed as a canonical model to study clustering and community detection, and ... Machine Learning and Information Theory, a review article for the Information Theory Newsletter, and


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Mixed membership and the latent block structure can be recovered from relational data (Section 4.1). The application to a friendship network among students tests the model on a real data set where a well-defined latent block structure exists (Section 4.2). The application to a protein interaction



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Community detection and stochastic block models: recent developments Emmanuel Abbe December 7, 2016 Abstract The stochastic block model (SBM) is a random graph model with planted clusters. It is widely employed as a canonical model for clustering and community detection, and provides generally a fertile ground to study the statistical and


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Stochastic block model - Wikipedia

The stochastic block model is a generative model for random graphs.This model tends to produce graphs containing communities, subsets of nodes characterized by being connected with one another with particular edge densities.For example, edges may be more common within communities than between communities. Its mathematical formulation has been firstly introduced in 1983 in the field of …


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