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Stochastic block models for multiplex networks: an application to a multilevel network of researchers

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  • Pierre Barbillon
  • Sophie Donnet
  • Emmanuel Lazega
  • Avner Bar-Hen

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  • Pierre Barbillon & Sophie Donnet & Emmanuel Lazega & Avner Bar-Hen, 2017. "Stochastic block models for multiplex networks: an application to a multilevel network of researchers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 295-314, January.
    • Handle: RePEc:bla:jorssa:v:180:y:2017:i:1:p:295-314
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    File URL: http://hdl.handle.net/10.1111/rssa.12193
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    References listed on IDEAS

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    1. Christophe Ambroise & Catherine Matias, 2012. "New consistent and asymptotically normal parameter estimates for random‐graph mixture models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 74(1), pages 3-35, January.
    2. Mario A. Maggioni & Stefano Breschi & Pietro Panzarasa, 2013. "Multiplexity, Growth Mechanisms and Structural Variety in Scientific Collaboration Networks," Industry and Innovation, Taylor & Francis Journals, vol. 20(3), pages 185-194, April.
    3. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    4. Olaf N. Rank & Garry L. Robins & Philippa E. Pattison, 2010. "Structural Logic of Intraorganizational Networks," Organization Science, INFORMS, vol. 21(3), pages 745-764, June.
    5. repec:dau:papers:123456789/1095 is not listed on IDEAS
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    Cited by:

    1. Fan, Xinyan & Fang, Kuangnan & Pu, Dan & Qin, Ruixuan, 2024. "Generalized latent space model for one-mode networks with awareness of two-mode networks," Computational Statistics & Data Analysis, Elsevier, vol. 193(C).
    2. Chabert-Liddell, Saint-Clair & Barbillon, Pierre & Donnet, Sophie & Lazega, Emmanuel, 2021. "A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
    3. Pavel N. Krivitsky & Laura M. Koehly & Christopher Steven Marcum, 2020. "Exponential-Family Random Graph Models for Multi-Layer Networks," Psychometrika, Springer;The Psychometric Society, vol. 85(3), pages 630-659, September.

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