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An approximation method for improving dynamic network model fitting
There has been a great deal of interest recently in the modeling and simulation of dynamic networks, i.e., networks that change over time. One promising model is the separable temporal exponential-family random graph model (ERGM) of Krivitsky and Handcock, which treats the formation and dissolution...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4548897/ https://ncbi.nlm.nih.gov/pubmed/26321857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.903087 |
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