The three dimensions of social prominence (Contributo in atti di convegno)

Type
Label
  • The three dimensions of social prominence (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-03260-3_28 (literal)
Alternative label
  • Pennacchioli D., Rossetti G., Pappalardo L., Pedreschi D., Giannotti F., Coscia M. (2013)
    The three dimensions of social prominence
    in SocInfo2013 - Social Informatics. 5th International Conference, Kyoto, Japan, 25-27 November 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pennacchioli D., Rossetti G., Pappalardo L., Pedreschi D., Giannotti F., Coscia M. (literal)
Pagina inizio
  • 319 (literal)
Pagina fine
  • 332 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • grant agreement 270833 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://link.springer.com/chapter/10.1007/978-3-319-03260-3_28 (literal)
Note
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; Computer Science Department, University of Pisa, Italy; CNR-ISTI, Pisa, Italy; CID - Harvard University, Cambridge, MA, USA. (literal)
Titolo
  • The three dimensions of social prominence (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-319-03259-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Adam Jatowt, Ee-Peng Lim, Ying Ding, Asako Miura, Taro Tezuka, Gaël Dias, Katsumi Tanaka, Andrew Flanagin, Bing Tian Dai (literal)
Abstract
  • One classic problem denition in social network analysis is the study of diffusion in networks, which enables us to tackle problems like favoring the adoption of positive technologies. Most of the attention has been turned to how to maximize the number of in uenced nodes, but this approach misses the fact that different scenarios imply different dif- fusion dynamics, only slightly related to maximizing the number of nodes involved. In this paper we measure three different dimensions of social prominence: the Width, i.e. the ratio of neighbors in uenced by a node; the Depth, i.e. the degrees of separation from a node to the nodes perceiv- ing its prominence; and the Strength, i.e. the intensity of the prominence of a node. By dening a procedure to extract prominent users in complex networks, we detect associations between the three dimensions of social prominence and classical network statistics. We validate our results on a social network extracted from the Last.Fm music platform. (literal)
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