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Community detection by stochastic block modelling

Laddomada, Enrico
(2021)

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Laddomada_67501500_2021.pdf
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Laddomada_67501500_2021_Annexe1.zip
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Details

Supervisors
Pircalabelu, Eugen
Faculty
Faculté des sciences
Degree label
Master [120] en statistique, orientation générale
Abstract
This thesis aims to evaluate if stochastic block models are suitable to detect communities in networks. After defining the stochastic block models and studying their properties, results of simulation studies are illustrated, as well as analysis of real networks by means of several estimation methods.