Least-squares community extraction in feature-rich networks using similarity data.

We explore a doubly-greedy approach to the issue of community detection in feature-rich networks. According to this approach, both the network and feature data are straightforwardly recovered from the underlying unknown non-overlapping communities, supplied with a center in the feature space and int...

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Autores principales: Soroosh Shalileh, Boris Mirkin
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/d93a00a917b64d39a6a3f6d18cadbc80
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