Exponential random graph model parameter estimation for very large directed networks

Exponential random graph models (ERGMs) are widely used for modeling social networks observed at one point in time. However the computational difficulty of ERGM parameter estimation has limited the practical application of this class of models to relatively small networks, up to a few thousand nodes...

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Detalles Bibliográficos
Autores principales: Stivala, Alex, Robins, Garry, Lomi, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980401/
https://www.ncbi.nlm.nih.gov/pubmed/31978150
http://dx.doi.org/10.1371/journal.pone.0227804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980401/
https://www.ncbi.nlm.nih.gov/pubmed/31978150
http://dx.doi.org/10.1371/journal.pone.0227804

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