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A Separable Model for Dynamic Networks
Models of dynamic networks — networks that evolve over time — have manifold applications. We develop a discrete-time generative model for social network evolution that inherits the richness and flexibility of the class of exponential-family random graph models. The model — a Separable Temporal ERGM...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3891677/ https://ncbi.nlm.nih.gov/pubmed/24443639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12014 |
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