Estimation in a Binomial Stochastic Blockmodel for a Weighted Graph by a Variational Expectation Maximization Algorithm

Autor: Abir El Haj, Zaher Khraibani, Pierre-Yves Louis, Yousri Slaoui

Publikováno v: Communications in Statistics-Simulation and Computation
Communications in Statistics-Simulation and Computation, Taylor & Francis, 2020, ⟨10.1080/03610918.2020.1743858⟩

International audience; Stochastic blockmodels have been widely proposed as a probabilistic random graph model for the analysis of networks data as well as for detecting community structure in these networks. In a number of real-world networks, not a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186263ba74bd5595b102450b387ff398
https://hal.archives-ouvertes.fr/hal-02271491

Modèles à blocs stochastiques, classifications et applications

Autor: El Haj, Abir

Publikováno v: Modeling and Simulation. Université de Poitiers; Université Libanaise, 2019. English. ⟨NNT : 2019POIT2300⟩

This PhD thesis focuses on the analysis of weighted networks, where each edge is associated to a weight representing its strength. We introduce an extension of the binary stochastic block model (SBM), called binomial stochastic block model (bSBM). Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::a18dfff2f60a5e9d955b2fb6684786fe
https://tel.archives-ouvertes.fr/tel-02926379

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