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Uncovering and Testing the Fuzzy Clusters Based on Lumped Markov Chain in Complex Network
Identifying clusters, namely groups of nodes with comparatively strong internal connectivity, is a fundamental task for deeply understanding the structure and function of a network. By means of a lumped Markov chain model of a random walker, we propose two novel ways of inferring the lumped markov t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877001/ https://www.ncbi.nlm.nih.gov/pubmed/24391729 http://dx.doi.org/10.1371/journal.pone.0082964 |