GROUP: A Gossip Based Building Community Protocol (Contributo in atti di convegno)

Type
Label
  • GROUP: A Gossip Based Building Community Protocol (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-22875-9_45 (literal)
Alternative label
  • Mordacchini M., Baraglia R., Dazzi P., Ricci L., Alessi L. (2011)
    GROUP: A Gossip Based Building Community Protocol
    in Smart Spaces and Next Generation Wired/Wireless Networking. 11th International Conference and 4th Conference on Smart Spaces, NEW2AN 2011 - ruSMART 2011, St. Petersburg, Russia, 23-25 Aug, 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Mordacchini M., Baraglia R., Dazzi P., Ricci L., Alessi L. (literal)
Pagina inizio
  • 496 (literal)
Pagina fine
  • 507 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID Modulo Commessa INT.P01.001.002 - 044 - Ubiquitous Internet (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/e4725g32q5661486/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 6869 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • PuMa (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIT, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa, Italy (literal)
Titolo
  • GROUP: A Gossip Based Building Community Protocol (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-22874-2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Balandin Sergey, Koucheryavy Yevgeni, Hu Honglin (literal)
Abstract
  • The detection of communities of peers characterized by similar interests is currently a challenging research area. To ease the diffusion of relevant data to interested peers, similarity based overlays define links between similar peers by exploiting a similarity function. However, existing solutions neither give a clear definition of peer communities nor define a clear strategy to partition the peers into communities. As a consequence, the spread of the information cannot be confined within a well defined region of an overlay. This paper proposes a distributed protocol for the detection of communities in a P2P network. Our approach is based on the definition of a distributed voting algorithm where each peer chooses the more similar peers among those in a limited neighbourhood range. The identifier of the most representative peer is exploited to identify a community. The paper shows the effectiveness of our approach by presenting a set of experimental results. (literal)
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