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Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization
BACKGROUND: Community discovery is an important task for revealing structures in large networks. The massive size of contemporary social networks poses a tremendous challenge to the scalability of traditional graph clustering algorithms and the evaluation of discovered communities. METHODS: We propo...
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| Foilsithe in: | Comput Soc Netw |
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| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Springer International Publishing
2017
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5732610/ https://ncbi.nlm.nih.gov/pubmed/29266136 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40649-017-0043-5 |
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