Optimal scales in weighted networks (Contributo in atti di convegno)

Type
Label
  • Optimal scales in weighted networks (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_30 (literal)
Alternative label
  • Diego Garlaschelli (1); Sebastian E. Ahnert (2); Thomas M. A. Fink (3); Guido Caldarelli (3,4,5) (2013)
    Optimal scales in weighted networks
    in 5th International Conference on Social Informatics, SocInfo 2013, Kyoto, Japan, 25-27 November 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Diego Garlaschelli (1); Sebastian E. Ahnert (2); Thomas M. A. Fink (3); Guido Caldarelli (3,4,5) (literal)
Pagina inizio
  • 346 (literal)
Pagina fine
  • 359 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84892155865&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Social Informatics (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 8238 LNCS (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 14 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (1) Lorentz Institute of Theoretical Physics, University of Leiden, Niels Bohrweg 2, 2333 CA Leiden, Netherlands (2) Cavendish Laboratory, University of Cambridge, JJ Thomson Avenue, CB3 0HE Cambridge, United Kingdom (3) London Institute for Mathematical Sciences, 22 South Audley St., W1K 2NY London, United Kingdom (4) IMT Alti Studi Lucca, Piazza S. Ponziano 6, 55100 Lucca, Italy (5) ISC-CNR, Dipartimento di Fisica, Universitá La Sapienza, P.le A. Moro 2, 00185 Roma, Italy (literal)
Titolo
  • Optimal scales in weighted networks (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-31903-259-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Eds. Adam Jatowt, ...[et al.] (literal)
Abstract
  • The analysis of networks characterized by links with heterogeneous intensity or weight suffers from two long-standing problems of arbitrariness. On one hand, the definitions of topological properties introduced for binary graphs can be generalized in non-unique ways to weighted networks. On the other hand, even when a definition is given, there is no natural choice of the (optimal) scale of link intensities (e.g. the money unit in economic networks). Here we show that these two seemingly independent problems can be regarded as intimately related, and propose a common solution to both. Using a formalism that we recently proposed in order to map a weighted network to an ensemble of binary graphs, we introduce an information-theoretic approach leading to the least biased generalization of binary properties to weighted networks, and at the same time fixing the optimal scale of link intensities. We illustrate our method on various social and economic networks. © 2013 Springer International Publishing. (literal)
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