Caricamento...
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...
Salvato in:
| Pubblicato in: | PLoS One |
|---|---|
| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
|
| Soggetti: | |
| Accesso online: | 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 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !
|