Cargando…
The many facets of community detection in complex networks
Community detection, the decomposition of a graph into essential building blocks, has been a core research topic in network science over the past years. Since a precise notion of what constitutes a community has remained evasive, community detection algorithms have often been compared on benchmark g...
Autores principales: | Schaub, Michael T., Delvenne, Jean-Charles, Rosvall, Martin, Lambiotte, Renaud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245232/ https://www.ncbi.nlm.nih.gov/pubmed/30533512 http://dx.doi.org/10.1007/s41109-017-0023-6 |
Ejemplares similares
-
Flow stability for dynamic community detection
por: Bovet, Alexandre, et al.
Publicado: (2022) -
From networks to optimal higher-order models of complex systems
por: Lambiotte, Renaud, et al.
Publicado: (2019) -
Multiscale mixing patterns in networks
por: Peel, Leto, et al.
Publicado: (2018) -
Using higher-order Markov models to reveal flow-based communities in networks
por: Salnikov, Vsevolod, et al.
Publicado: (2016) -
Markov Dynamics as a Zooming Lens for Multiscale Community Detection: Non Clique-Like Communities and the Field-of-View Limit
por: Schaub, Michael T., et al.
Publicado: (2012)