dc.creatorZamudio, Eduardo
dc.creatorBerdun, Luis Sebastian
dc.creatorAmandi, Analia Adriana
dc.date.accessioned2018-09-05T19:09:29Z
dc.date.accessioned2018-11-06T12:25:40Z
dc.date.available2018-09-05T19:09:29Z
dc.date.available2018-11-06T12:25:40Z
dc.date.created2018-09-05T19:09:29Z
dc.date.issued2016-01
dc.identifierZamudio, Eduardo; Berdun, Luis Sebastian; Amandi, Analia Adriana; Social networks and genetic algorithms to choose committees with independent members; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 43; 1-2016; 261-270
dc.identifier0957-4174
dc.identifierhttp://hdl.handle.net/11336/58418
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1866457
dc.description.abstractChoosing committees with independent members in social networks can be regarded as a group selection problem where independence, as the main selection criterion, can be measured by the social distance between group members. Although there are many solutions for the group selection problem in social networks, such as target set selection or community detection, none of them have proposed an approach to select committee members based on independence as group performance measure. In this work, we propose a novel approach for independent node group selection in social networks. This approach defines an independence group function and a genetic algorithm in order to optimize it. We present a case study where we build a real social network with on-line available data extracted from a Research and Development (R&D) public agency, and then we compare selected groups with existing committees of the same agency. Results show that the proposed approach can generate committees that improve group independence compared with existing committees.
dc.languageeng
dc.publisherPergamon-Elsevier Science Ltd
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0957417415005059
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eswa.2015.07.045
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCOMMITTEE
dc.subjectGENETIC ALGORITHM
dc.subjectGROUP SELECTION
dc.subjectINDEPENDENCE
dc.subjectSOCIAL NETWORK
dc.titleSocial networks and genetic algorithms to choose committees with independent members
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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