Community Detection in Multidimensional Networks (Contributo in atti di convegno)

Type
Label
  • Community Detection in Multidimensional Networks (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/ICTAI.2014.60 (literal)
Alternative label
  • Alessia Amelio, Clara Pizzuti (2014)
    Community Detection in Multidimensional Networks
    in IEEE International Conference on Tools with Artificial Intelligence (ICTAI'14), Lymassol, Ciprus, 10-12 Novembre 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Alessia Amelio, Clara Pizzuti (literal)
Pagina inizio
  • 352 (literal)
Pagina fine
  • 358 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dx.doi.org/10.1109/ICTAI.2014.60 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR (literal)
Titolo
  • Community Detection in Multidimensional Networks (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-4799-6572-4 (literal)
Abstract
  • The paper proposes a new approach to detect shared community structure in multidimensional networks based on the combination of multiobjective genetic algorithms, local search, and the concept of temporal smoothness, coming from evolutionary clustering. A multidimensional network is clustered by running on each slice a multiobjective genetic algorithm that maximizes the modularity on such a slice and, at the same time, minimizes the difference between the community structure obtained for the current layer and that found on the already considered dimensions. Experiments on synthetic and real-world datasets show the ability of the approach in discovering latent shared clustering of objects. (literal)
Editore
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Prodotto
Autore CNR di
Editore di
Insieme di parole chiave di
data.CNR.it