A Multiobjective Genetic Algorithm to Find Communities in Complex Networks (Articolo in rivista)

Type
Label
  • A Multiobjective Genetic Algorithm to Find Communities in Complex Networks (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TEVC.2011.2161090 (literal)
Alternative label
  • Pizzuti, Clara (2012)
    A Multiobjective Genetic Algorithm to Find Communities in Complex Networks
    in IEEE transactions on evolutionary computation
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pizzuti, Clara (literal)
Pagina inizio
  • 418 (literal)
Pagina fine
  • 430 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 16 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 3 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR (literal)
Titolo
  • A Multiobjective Genetic Algorithm to Find Communities in Complex Networks (literal)
Abstract
  • A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connected groups of nodes having sparse inter-connections. The method generates a set of network divisions at different hierarchical levels in which solutions at deeper levels, consisting of a higher number of modules, are contained in solutions having a lower number of communities. The number of modules is automatically determined by the better tradeoff values of the objective functions. Experiments on synthetic and real life networks show that the algorithm successfully detects the network structure and it is competitive with state of the art approaches. (literal)
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