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Identifying Communities in Dynamic Networks Using Information Dynamics
Identifying communities in dynamic networks is essential for exploring the latent network structures, understanding network functions, predicting network evolution, and discovering abnormal network events. Many dynamic community detection methods have been proposed from different viewpoints. However...
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| Pubblicato in: | Entropy (Basel) |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516902/ https://ncbi.nlm.nih.gov/pubmed/33286200 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040425 |
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