dc.creatorViana, Matheus P.
dc.creatorAmancio, Diego R.
dc.creatorCosta, Luciano da Fontoura
dc.date.accessioned2014-06-18T23:42:12Z
dc.date.accessioned2018-07-04T16:46:37Z
dc.date.available2014-06-18T23:42:12Z
dc.date.available2018-07-04T16:46:37Z
dc.date.created2014-06-18T23:42:12Z
dc.date.issued2013-04
dc.identifierJournal of Informetrics, Amsterdam: Elsevier BV, v. 7, n. 2, p. 371-378, Apr. 2013
dc.identifier1751-1577
dc.identifierhttp://www.producao.usp.br/handle/BDPI/45449
dc.identifier10.1016/j.joi.2012.12.005
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1640217
dc.description.abstractThe patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collaborative networks (from the arXiv repository) parameterized along time. By defining the concept of affine group, we identify several interesting trends in scientific collaboration, including the fact that the average size of the affine groups grows exponentially, while the number of authors increases as a power law. We were therefore able to identify, through extrapolation, the possible date when a single affine group is expected to emerge. Characteristic collaboration patterns were identified for each researcher, and their analysis revealed that larger affine groups tend to be less stable.
dc.languageeng
dc.publisherElsevier BV
dc.publisherAmsterdam
dc.relationJournal of Informetrics
dc.rightsCopyright Elsevier Ltd.
dc.rightsrestrictedAccess
dc.subjectCollaborative networks
dc.subjectTime-varying networks
dc.subjectComplex networks
dc.subjectPattern recognition
dc.titleOn time-varying collaboration networks
dc.typeArtículos de revistas


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