dc.creator | Ortega Rodríguez, Francisco Javier | es |
dc.creator | Troyano Jiménez, José Antonio | es |
dc.creator | Cruz Mata, Fermín | es |
dc.creator | García Vallejo, Carlos Antonio | es |
dc.creator | Enríquez de Salamanca Ros, Fernando | es |
dc.date.accessioned | 2020-08-05T07:31:52Z | |
dc.date.available | 2020-08-05T07:31:52Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Ortega Rodríguez, F.J., Troyano Jiménez, J.A., Cruz Mata, F., García Vallejo, C.A. y Enríquez de Salamanca Ros, F. (2012). Propagation of trust and distrust for the detection of trolls in a social network. Computer Networks, 56 (12), 2884-2895. | |
dc.identifier.issn | 1389-1286 | es |
dc.identifier.uri | https://hdl.handle.net/11441/100107 | |
dc.description.abstract | Trust and Reputation Systems constitute an essential part of many social networks due to
the great expansion of these on-line communities in the past few years. As a consequence
of this growth, some users try to disturb the normal atmosphere of these communities, or
even to take advantage of them in order to obtain some kind of benefits. Therefore, the concept
of trust is a key point in the performance of on-line systems such as on-line marketplaces,
review aggregators, social news sites, and forums. In this work we propose a
method to compute a ranking of the users in a social network, regarding their trustworthiness.
The aim of our method is to prevent malicious users from illicitly gaining high reputation
in the network by demoting them in the ranking of users. We propose a novel
system intended to propagate both positive and negative opinions of the users through a
network, in such way that the opinions from each user about others influence their global
trust score. Our proposal has been evaluated in different challenging situations. The experiments
include the generation of random graphs, the use of a real-world dataset extracted
from a social news site, and a combination of both a real dataset and generation techniques,
in order to test our proposals in different environments. The results show that
our method performs well in every situations, showing the propagation of trust and distrust
to be a reliable mechanism in a Trust and Reputation System. | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Computer Networks, 56 (12), 2884-2895. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Social networks | es |
dc.subject | Trust and Reputation Systems | es |
dc.subject | Graph theory | es |
dc.subject | Ranking algorithms | es |
dc.title | Propagation of trust and distrust for the detection of trolls in a social network | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S138912861200179X | es |
dc.identifier.doi | 10.1016/j.comnet.2012.05.002 | es |
dc.journaltitle | Computer Networks | es |
dc.publication.volumen | 56 | es |
dc.publication.issue | 12 | es |
dc.publication.initialPage | 2884 | es |
dc.publication.endPage | 2895 | es |
dc.identifier.sisius | 20327947 | es |