dc.contributor.authorAndrade-Garda, Javier
dc.contributor.authorAnguera, Aurea
dc.contributor.authorAres, Juan
dc.contributor.authorGarcía, Rafael
dc.contributor.authorLara Torralbo, Juan Alfonso
dc.contributor.authorLizcano, David
dc.contributor.authorRodríguez, Santiago
dc.contributor.authorSuárez-Garaboa, Sonia
dc.date.accessioned2018-09-12T10:05:18Z
dc.date.available2018-09-12T10:05:18Z
dc.date.issued2018-05
dc.identifier.issn1435-5558
dc.identifier.urihttp://hdl.handle.net/20.500.12226/71
dc.description.abstractAbstract This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ trustworthiness. When expressing the result of a measurement, some quantitative indication of the quality of the result—the uncertainty of measurement—should be given. However, currently this is not taken into account for the measurement of the social dimension of cognitive trust in collaborative networks. In view of this, an innovative metrology-based approach for the measurement of social cognitive trust indicators in collaborative networks is presented. Thus, a measurement result is always accompanied by its uncertainty of measurement, as well as by information traditionally used to properly interpret the results: the sample size, and the standard deviation of the sample.es
dc.language.isoeses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleA Metrology based Approach for measuring the Social Dimension of Cognitive Trust in Collaborative Networkses
dc.typearticlees
dc.description.course2017-18es
dc.journal.titleCognition, Technology & Workes
dc.publisher.departmentDepartamento de Ingeniería Informáticaes
dc.publisher.facultyEscuela de Ciencias Técnicas e Ingenieríaes
dc.publisher.group(GI-14/4) Ingeniería y Gestión del Conocimientoes
dc.rights.accessRightsopenAccesses


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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