[Forum SIS] Avviso di seminario: Bartolucci a DISMEQ (Dipartimento di Statististica e Metodi Quantitativi, Milano-Bicocca)

[Fulvia Pennoni]

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Dipartimento di Statistica e Metodi Quantitativi
Via Bicocca degli Arcimboldi, 8 - 20126 Milano
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“STOCHASTIC BLOCK MODELS: INFERENTIAL DEVELOPMENTS IN THE CONTEXT OF 
STATIC AND DYNAMIC SOCIAL NETWORKS”

Francesco Bartolucci
University of Perugia (INSA)

Lunedì  14 Novembre ore 11.00  Ed. U7,  2° piano,  aula 2062 (sezione di 
demografia)
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Abstract:

Stochastic block models (SBMs) are commonly used in social network 
analysis to discover communities and clusters of individuals having a 
similar behavior. Despite the simplicity of the assumptions of these 
models, inference remains problematic because the model likelihood 
cannot be computed and this limits their applicability. The talk is 
focused on two known methods of inference for SBMs and compares these 
methods with a new proposal that shows a great potential. The known 
methods rely on composite likelihood and variational inference. The 
proposed method is based on a classification likelihood, but has 
features in common with the previous two. The extension of SBMs for the 
analysis of longitudinal social network data is also illustrated, 
including some features regarding reciprocity. An application based on 
the Enron email dataset is used as an illustration, together with a 
series of simulations.
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Si allega la locandina.

Cordiali saluti

Fulvia Pennoni



-- 
Fulvia Pennoni
Department of Statistics and Quantitative Methods
University of Milano-Bicocca
http://www.statistica.unimib.it/utenti/pennoni/

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