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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Zejun, Sheng, Jinfang, Wang, Bin, Ullah, Aman, Khawaja, FaizaRiaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516902/
https://www.ncbi.nlm.nih.gov/pubmed/33286200
http://dx.doi.org/10.3390/e22040425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516902/
https://www.ncbi.nlm.nih.gov/pubmed/33286200
http://dx.doi.org/10.3390/e22040425

Ejemplares similares