Autonomic Detection of Dynamic Social communities in Opportunistic Networks (Contributo in atti di convegno)

Type

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

Label

• Autonomic Detection of Dynamic Social communities in Opportunistic Networks (Contributo in atti di convegno) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Alternative label

• Borgia E. [1], Conti M. [1], Passarella A. [1] (2011)
  Autonomic Detection of Dynamic Social communities in Opportunistic Networks
  in The 10th IEEE IFIP Annual Mediterranean Ad Hoc Networking Workshop Med-Hoc-Net 2011, Favignana Island, Sicily, Italy, 12-15 June 2011
  (literal)

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

• Borgia E. [1], Conti M. [1], Passarella A. [1] (literal)

Pagina inizio

• 142 (literal)

Pagina fine

• 149 (literal)

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

• ID_PUMA: cnr.iit/2011-A2-051. ID Modulo Commessa 4182 - INT.P01.001.002 - 044 - Ubiquitous Internet (literal)

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

• 8 (literal)

Note

• Scopu (literal)

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

• [1] CNR-IIT, Pisa, Italy (literal)

Titolo

• Autonomic Detection of Dynamic Social communities in Opportunistic Networks (literal)

Abstract

• In this paper we focus on approaches which aim at discovering communities of people in Opportunistic Networks.We first study the behaviour of three community detection distributed algorithms proposed in literature [1], in a scenario where people move according to a mobility model which well reproduces the nature of human contacts, namely HCMM [2]. By a simulation analysis, we show that these distributed approaches can satisfactory detect the communities formed by people only when they do not significantly change over time. Otherwise, as they maintain memory of all encountered nodes forever, these algorithms fail to capture dynamic evolutions of the social communities users are part of. To this aim we propose ADSIMPLE, a new solution which captures the dynamic evolution of social communities. We demonstrate that it accurately detects communities and social changes while keeping computation and storage requirements low. (literal)

Editore

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Prodotto di

• Istituto di informatica e telematica (IIT) (Istituto)

Autore CNR

• ELEONORA BORGIA (Unità di personale interno)
• ANDREA PASSARELLA (Persona)
• MARCO CONTI (Unità di personale interno)

Insieme di parole chiave

• Parole chiave di "Autonomic Detection of Dynamic Social communities in Opportunistic Networks" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di informatica e telematica (IIT) (Istituto)

Autore CNR di

• MARCO CONTI (Unità di personale interno)
• ANDREA PASSARELLA (Persona)
• ELEONORA BORGIA (Unità di personale interno)

Editore di

• The Institute of Electrical and Electronics Engineers (IEEE) (Editore)

Insieme di parole chiave di

• Parole chiave di "Autonomic Detection of Dynamic Social communities in Opportunistic Networks" (Insieme di parole chiave)