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dc.contributor.authorVerbiest, Nele
dc.contributor.authorCornelis, Chris
dc.contributor.authorVictor, Patricia
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2020-12-23T09:59:49Z
dc.date.available2020-12-23T09:59:49Z
dc.date.issued2012-02-21
dc.identifier.citationPublished version: Verbiest, N., Cornelis, C., Victor, P., & Herrera-Viedma, E. (2012). Trust and distrust aggregation enhanced with path length incorporation. Fuzzy Sets and Systems, 202, 61-74. [https://doi.org/10.1016/j.fss.2012.02.007]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/65127
dc.description.abstractTrust networks are social networks in which users can assign trust scores to each other. In order to estimate these scores for agents that are indirectly connected through the network, a range of trust score aggregators has been proposed. Currently, none of them takes into account the length of the paths that connect users; however, this appears to be a critical factor since longer paths generally contain less reliable information. In this paper, we introduce and evaluate several path length incorporating aggregation strategies in order to strike the right balance between generating more predictions on the one hand and maintaining a high prediction accuracy on the other hand.es_ES
dc.description.sponsorshipEuropean Union (EU) TIN2010-17876; TIC-5299; TIC-05991es_ES
dc.description.sponsorshipFWOes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectTrust networkses_ES
dc.subjectAggregation operatorses_ES
dc.subjectPath lengthes_ES
dc.titleTrust and Distrust Aggregation Enhanced with Path Length Incorporationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.fss.2012.02.007
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España