Dealing with reciprocity in dynamic stochastic block models

DOI10.1016/j.csda.2018.01.010zbMath1469.62018OpenAlexW2789311406MaRDI QIDQ1662823

Francesco Bartolucci, Silvia Pandolfi, Maria Francesca Marino

Publication date: 20 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.01.010

zbMATH Keywords

dyadsEM algorithmlikelihood ratio testhidden Markov modelsvariational inference

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Social networks; opinion dynamics (91D30) Markov processes: estimation; hidden Markov models (62M05) Probabilistic graphical models (62H22)

Related Items (5)

Hybrid maximum likelihood inference for stochastic block models ⋮ A stochastic block model approach for the analysis of multilevel networks: an application to the sociology of organizations ⋮ Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model ⋮ Detecting structural changes in longitudinal network data ⋮ A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market

Uses Software

• R
• networkDynamic

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