Weighted stochastic block model

We propose a weighted stochastic block model (WSBM) which extends the stochastic block model to the important case in which edges are weighted. We address the parameter estimation of the WSBM by use of maximum likelihood and variational approaches, and establish the consistency of these estimators....

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Detalles Bibliográficos
Autores principales: Ng, Tin Lok James, Murphy, Thomas Brendan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608781/
https://www.ncbi.nlm.nih.gov/pubmed/34840548
http://dx.doi.org/10.1007/s10260-021-00590-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608781/
https://www.ncbi.nlm.nih.gov/pubmed/34840548
http://dx.doi.org/10.1007/s10260-021-00590-6

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