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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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| Gepubliceerd in: | PLoS One |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6980401/ https://ncbi.nlm.nih.gov/pubmed/31978150 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227804 |
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