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dc.contributor.authorUrena, Raquelen
dc.contributor.authorKou, Gangen
dc.contributor.authorDong, Yuchengen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorHerrera-Viedma, Enriqueen
dc.date.accessioned2018-11-21T09:57:07Z
dc.date.available2018-11-21T09:57:07Z
dc.date.issued2018-11-19
dc.identifier.citationUreña, R., Kou, G., Dong, Y., Chiclana, F., Herrera-Viedma, E. (2018) On trust propagation and opinion dynamics in social networks and group decision making frameworks. Information Sciences, 478, pp. 461-475en
dc.identifier.issn0020-0255
dc.identifier.urihttp://hdl.handle.net/2086/17240
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractOn-line platforms foster the communication capabilities of the Internet to develop large-scale influence networks in which the quality of the interactions can be evaluated based on trust and reputation. So far, this technology is well known for building trust and harnessing cooperation in on-line marketplaces, such as Amazon (www.amazon.com) and eBay (www.ebay.es). However, these mechanisms are poised to have a broader impact on a wide range of scenarios, from large scale decision making procedures, such as the ones implied in e-democracy, to trust based recommendations on e-health context or influence and performance assessment in e-marketing and e-learning systems. This contribution surveys the progress in understanding the new possibilities and challenges that trust and reputation systems pose. To do so, it discusses trust, reputation and influence which are important measures in networked based communication mechanisms to support the worthiness of information, products, services opinions and recommendations. The existent mechanisms to estimate and propagate trust and reputation, in distributed networked scenarios, and how these measures can be integrated in decision making to reach consensus among the agents are analysed. Furthermore, it also provides an overview of the relevant work in opinion dynamics and influence assessment, as part of social networks. Finally, it identifies challenges and research opportunities on how the so called trust based network can be leveraged as an influence measure to foster decision making processes and recommendation mechanisms in complex social networks scenarios with uncertain knowledge, like the mentioned in e-health and e-marketing frameworks.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectTrusten
dc.subjectReputationen
dc.subjectInfluenceen
dc.subjectSocial networksen
dc.subjectDecision Makingen
dc.subjectOpinion dynamicsen
dc.titleA review on trust propagation and opinion dynamics in social networks and group decision making frameworksen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1016/j.ins.2018.11.037
dc.researchgroupInstitute of Artificial Intelligence (IAI)en
dc.peerreviewedYesen
dc.funderEU project H2020-MSCA-IF-2016-DeciTrustNETen
dc.funderFEDER funds provided in the National Spanish project TIN2016en
dc.funderRUDN University Program 5-100 (Russian Federation).en
dc.projectid746398en
dc.projectid75850-Pen
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2018-11-17en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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