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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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/d93a00a917b64d39a6a3f6d18cadbc80 |
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