How choosing random-walk model and network representation matters for flow-based community detection in hypergraphs
Real-world networks are typically characterised by a non-trivial organization at the mesoscale, such that groups of nodes are preferentially connected within distinguishable network regions known as communities. In this work the authors define unipartite, bipartite, and multilayer network representa...
Enregistré dans:
Auteurs principaux: | Anton Eriksson, Daniel Edler, Alexis Rojas, Manlio de Domenico, Martin Rosvall |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/37ecc9c24c0241d3a054f8f4fca408db |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Hypergraph reconstruction from network data
par: Jean-Gabriel Young, et autres
Publié: (2021) -
Phase transitions and stability of dynamical processes on hypergraphs
par: Guilherme Ferraz de Arruda, et autres
Publié: (2021) -
Node and edge nonlinear eigenvector centrality for hypergraphs
par: Francesco Tudisco, et autres
Publié: (2021) -
Detecting informative higher-order interactions in statistically validated hypergraphs
par: Federico Musciotto, et autres
Publié: (2021) -
Publisher Correction: Node and edge nonlinear eigenvector centrality for hypergraphs
par: Francesco Tudisco, et autres
Publié: (2021)