Towards discovery of eras in social networks (Contributo in atti di convegno)

Type
Label
  • Towards discovery of eras in social networks (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Berlingerio M.; Coscia M.; Giannotti F.; Monreale A.; Pedreschi D. (2010)
    Towards discovery of eras in social networks
    in Data Engineering Workshops. IEEE 26th International Conference on Data Engineering, Long Beach, USA
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Berlingerio M.; Coscia M.; Giannotti F.; Monreale A.; Pedreschi D. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: ICDEW 2010 - Data Engineering Workshops. IEEE 26th International Conference on Data Engineering (Long Beach, USA, Febbraio 2010). Proceedings, pp. 278 - 281. IEEE, 2010. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: In the last decades, much research has been devoted in topics related to Social Network Analysis. One important direction in this area is to analyze the temporal evolution of a network. So far, previous approaches analyzed this setting at both the global and the local level. In this paper, we focus on finding a way to detect temporal eras in an evolving network. We pose the basis for a general framework that aims at helping the analyst in browsing the temporal clusters both in a top-down and bottom-up way, exploring the network at any level of temporal details. We show the effectiveness of our approach to real data, by applying our proposed methodology to a co-authorship network extracted from a bibliographic dataset. Our first results are encouraging, and open the way for the definition and implementation of a general framework for discovering eras in evolving social networks. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Department of Computer Science, University of Pisa (literal)
Titolo
  • Towards discovery of eras in social networks (literal)
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