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Brokerage discovery in social networks

dc.contributor.authorCavique, Luís
dc.date.accessioned2015-05-05T11:01:20Z
dc.date.available2015-05-05T11:01:20Z
dc.date.issued2013
dc.descriptionConferência realizada em Angra do Heroísmo, Açores, de 9-12 de Setembro de 2013por
dc.description.abstractIn social networks two types of measures can be identified, the structural measures and community structure based on diameter and centrality. The community structure usually deals with network partition into communities. The key idea of this work is to explore the concept of strong and weak ties by finding brokers within communities. The strict partition problem is relaxed into a bi-objective set covering problem with k-cliques which allows over-covered and uncovered nodes. The information extracted from social networking goes beyond cohesive groups, allowing the finding of brokers that interact between groups.por
dc.identifier.citationCavique, Luís - Brokerage discovery in social networks. EPIA 2013. Portuguese Conference on Artificial Intelligence, 16, Angra do Heroísmo, 2013 - "Portuguese conference ... [Em linha] : proceedings". [S.l.] : [EPIA], 2013. 12 p.por
dc.identifier.urihttp://hdl.handle.net/10400.2/3922
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherEPIApor
dc.subjectSocial networkspor
dc.subjectCommunity partitionpor
dc.subjectBrokeragepor
dc.titleBrokerage discovery in social networkspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAngra do Heroísmopor
oaire.citation.endPage12por
oaire.citation.startPage1por
oaire.citation.titleEPIA 2013. Portuguese Conference on Artificial Intelligencepor
person.familyNameCavique
person.givenNameLuís
person.identifier.ciencia-id911E-84AC-3956
person.identifier.orcid0000-0002-5590-1493
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication40906a16-46a2-42f1-b26d-7db7012294ee
relation.isAuthorOfPublication.latestForDiscovery40906a16-46a2-42f1-b26d-7db7012294ee

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