Preferential attachment in the growth of social networks: The internet encyclopedia Wikipedia (Articolo in rivista)

Type
Label
  • Preferential attachment in the growth of social networks: The internet encyclopedia Wikipedia (Articolo in rivista) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1103/PhysRevE.74.036116 (literal)
Alternative label
  • Capocci, A (1); Servedio, VDP (1,2); Colaiori, F (3); Buriol, LS (2,4); Donato, D (2); Leonardi, S (2); Caldarelli, G (1,3) (2006)
    Preferential attachment in the growth of social networks: The internet encyclopedia Wikipedia
    in Physical review. E, Statistical, nonlinear, and soft matter physics (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Capocci, A (1); Servedio, VDP (1,2); Colaiori, F (3); Buriol, LS (2,4); Donato, D (2); Leonardi, S (2); Caldarelli, G (1,3) (literal)
Pagina inizio
  • 036116 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 74 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1) Centro Studi e Ricerche E. Fermi, Compendio Viminale, Roma, Italy; 2) Dipartimento di Informatica e Sistemistica, Università di Roma \"La Sapienza,\" Via Salaria 113, 00198 Roma, Italy; 3) CNR-INFM(SMC) Istituto dei Sistemi Complessi and Dipartimento di Fisica, Università di Roma \"La Sapienza,\" Piazzale Aldo Moro 2, 00185, Roma, Italy; 4) Computer Science Department, Federal University of Rio Grande do Sul, Porto Alegre/RS, Brazil (literal)
Titolo
  • Preferential attachment in the growth of social networks: The internet encyclopedia Wikipedia (literal)
Abstract
  • We present an analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia. By describing topics by vertices and hyperlinks between them as edges, we can represent this encyclopedia as a directed graph. The topological properties of this graph are in close analogy with those of the World Wide Web, despite the very different growth mechanism. In particular, we measure a scale-invariant distribution of the in and out degree and we are able to reproduce these features by means of a simple statistical model. As a major consequence, Wikipedia growth can be described by local rules such as the preferential attachment mechanism, though users, who are responsible of its evolution, can act globally on the network. (literal)
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