Relating Modularity Maximization and Stochastic Block Models in Multilayer Networks-Reference-Cited by-同舟云学术

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Relating Modularity Maximization and Stochastic Block Models in Multilayer Networks

Published:2019-01 Issue:4 Volume:1 Page:667-698
ISSN:2577-0187
Container-title:SIAM Journal on Mathematics of Data Science
language:en
Short-container-title:SIAM Journal on Mathematics of Data Science

Author:

Pamfil A. Roxana,Howison Sam D.,Lambiotte Renaud,Porter Mason A.

Funder

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Link

https://epubs.siam.org/doi/pdf/10.1137/18M1231304

Reference67 articles.

1. Learning latent block structure in weighted networks

2. Disentangling group and link persistence in dynamic stochastic block models

3. Robust detection of dynamic community structure in networks

4. Community Detection in Temporal Multilayer Networks, with an Application to Correlation Networks

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