Cargando…
Community Detection in Complex Networks via Clique Conductance
Network science plays a central role in understanding and modeling complex systems in many areas including physics, sociology, biology, computer science, economics, politics, and neuroscience. One of the most important features of networks is community structure, i.e., clustering of nodes that are l...
Autores principales: | Lu, Zhenqi, Wahlström, Johan, Nehorai, Arye |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5899156/ https://www.ncbi.nlm.nih.gov/pubmed/29654276 http://dx.doi.org/10.1038/s41598-018-23932-z |
Ejemplares similares
-
Publisher Correction: Community Detection in Complex Networks via Clique Conductance
por: Lu, Zhenqi, et al.
Publicado: (2018) -
Local clustering via approximate heat kernel PageRank with subgraph sampling
por: Lu, Zhenqi, et al.
Publicado: (2021) -
Communities as cliques
por: Fried, Yael, et al.
Publicado: (2016) -
The topology of the directed clique complex as a network invariant
por: Masulli, Paolo, et al.
Publicado: (2016) -
Predicting preterm births from electrohysterogram recordings via deep learning
por: Goldsztejn, Uri, et al.
Publicado: (2023)