Brokerage discovery in social networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorCavique, Luís-
Data de aceite: dc.date.accessioned2019-08-21T17:03:24Z-
Data de disponibilização: dc.date.available2019-08-21T17:03:24Z-
Data de envio: dc.date.issued2015-05-05-
Data de envio: dc.date.issued2015-05-05-
Data de envio: dc.date.issued2013-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/3922-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/3922-
Descrição: dc.descriptionConferência realizada em Angra do Heroísmo, Açores, de 9-12 de Setembro de 2013-
Descrição: dc.descriptionIn 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.-
Idioma: dc.languagept_BR-
Publicador: dc.publisherEPIA-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectSocial networks-
Palavras-chave: dc.subjectCommunity partition-
Palavras-chave: dc.subjectBrokerage-
Título: dc.titleBrokerage discovery in social networks-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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