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Model-based clustering of time-evolving networks through temporal exponential-family random graph models
Dynamic networks are a general language for describing time-evolving complex systems, and discrete time network models provide an emerging statistical technique for various applications. It is a fundamental research question to detect a set of nodes sharing similar connectivity patterns in time-evol...
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| Publicado no: | J Multivar Anal |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7448400/ https://ncbi.nlm.nih.gov/pubmed/32863458 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jmva.2019.104540 |
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