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Modelling Social Network Sites with PageRank and Social Competences

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Modelling Social Network Sites with PageRank and Social Competences

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dc.contributor.author Pedroche Sánchez, Francisco es_ES
dc.date.accessioned 2015-01-13T16:23:20Z
dc.date.available 2015-01-13T16:23:20Z
dc.date.issued 2011-04-01
dc.identifier.issn 2174-6036
dc.identifier.uri http://hdl.handle.net/10251/46059
dc.description.abstract [EN] In this communication a recent method to classify the users of an SNS into Competitivity groups is recalled. This method is based on the PageRank algorithm. Competitivity groups are sets of nodes that compete among each other to gain PageRank via the personalization vector. Specific features of the SNSs (such as number of friends or activity of the users) can be considered as Social Competences. By means of these Social Competences a node can modify its ranking inside a Competitivity group. es_ES
dc.description.sponsorship This work is supported by Spanish DGI grant MTM2010-18674.
dc.language Inglés es_ES
dc.publisher Interlude es_ES
dc.relation.ispartof International Journal of Complex Systems in Science es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Google matrix es_ES
dc.subject PageRank es_ES
dc.subject Sns es_ES
dc.subject Ties es_ES
dc.subject Link analysis es_ES
dc.subject Ranking a lgorithm es_ES
dc.subject Online relationship es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Modelling Social Network Sites with PageRank and Social Competences es_ES
dc.type Artículo es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//MTM2010-18674/ES/SOLUCION ITERATIVA DE SISTEMAS LINEALES Y APLICACIONES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Pedroche Sánchez, F. (2011). Modelling Social Network Sites with PageRank and Social Competences. International Journal of Complex Systems in Science. 1(1):65-68. http://hdl.handle.net/10251/46059 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.ij-css.org/volume-01_01/ijcss01_01-065.pdf es_ES
dc.description.upvformatpinicio 65 es_ES
dc.description.upvformatpfin 68 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 1 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 215652
dc.contributor.funder Ministerio de Ciencia e Innovación


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