A cooperative evolutionary approach to learn communities in multilayer networks (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• A cooperative evolutionary approach to learn communities in multilayer networks (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Alternative label

• Amelio, Alessia; Pizzuti, Clara (2014)
  A cooperative evolutionary approach to learn communities in multilayer networks
  in 13th International Conference on Parallel Problem Solving from Nature - PPSN XIII, Ljubljana, Slovenia, September 13-17, 2014.
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Amelio, Alessia; Pizzuti, Clara (literal)

Pagina inizio

• 222 (literal)

Pagina fine

• 232 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-84921750603&origin=inward (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 8672 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 8672 (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consiglio Nazionale delle Ricerche (literal)

Titolo

• A cooperative evolutionary approach to learn communities in multilayer networks (literal)

Abstract

• In real-world complex systems objects are often involved in different kinds of connections, each expressing a different aspect of object activity. Multilayer networks, where each layer represents a type of relationship between a set of nodes, constitute a valid formalism to model such systems. In this paper a new approach based on Genetic Algorithms to detect community structure in multilayer networks is proposed. The method introduces an extension of the modularity concept and adopts a genetic representation of a multilayer network that allows cooperation and co-evolution of individuals, in order to find an optimal division of the network, shared among all the layers. Moreover, the algorithm relies on a label propagation mechanism and a local search strategy to refine the result quality. Experiments show the capability of the approach to obtain accurate community structures. (literal)

Prodotto di

• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)
• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• CLARA PIZZUTI (Unità di personale interno)
• ALESSIA AMELIO (Unità di personale esterno)

Insieme di parole chiave

• Parole chiave di "A cooperative evolutionary approach to learn communities in multilayer networks" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• Gestire, Estrarre Conoscenza e Ragionare sui Dati (ICT.P08.002.001) (Modulo)

Autore CNR di

• CLARA PIZZUTI (Unità di personale interno)
• ALESSIA AMELIO (Unità di personale esterno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Lecture notes in computer science (Rivista)

Insieme di parole chiave di

• Parole chiave di "A cooperative evolutionary approach to learn communities in multilayer networks" (Insieme di parole chiave)