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Community detection in networks without observing edges
We develop a Bayesian hierarchical model to identify communities of time series. Fitting the model provides an end-to-end community detection algorithm that does not extract information as a sequence of point estimates but propagates uncertainties from the raw data to the community labels. Our appro...
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| Publicado no: | Sci Adv |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association for the Advancement of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6981088/ https://ncbi.nlm.nih.gov/pubmed/32042892 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.aav1478 |
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