Cargando…
Community detection in networks by dynamical optimal transport formulation
Detecting communities in networks is important in various domains of applications. While a variety of methods exist to perform this task, recent efforts propose Optimal Transport (OT) principles combined with the geometric notion of Ollivier–Ricci curvature to classify nodes into groups by rigorousl...
Autores principales: | Leite, Daniela, Baptista, Diego, Ibrahim, Abdullahi A., Facca, Enrico, De Bacco, Caterina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546897/ https://www.ncbi.nlm.nih.gov/pubmed/36207412 http://dx.doi.org/10.1038/s41598-022-20986-y |
Ejemplares similares
-
Network extraction by routing optimization
por: Baptista, Diego, et al.
Publicado: (2020) -
Principled network extraction from images
por: Baptista, Diego, et al.
Publicado: (2021) -
Community detection with node attributes in multilayer networks
por: Contisciani, Martina, et al.
Publicado: (2020) -
The interplay between ranking and communities in networks
por: Iacovissi, Laura, et al.
Publicado: (2022) -
Multicommodity routing optimization for engineering networks
por: Lonardi, Alessandro, et al.
Publicado: (2022)