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Publicação
Brokerage discovery in social networks
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Autores
Orientador(es)
Resumo(s)
In 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.
Descrição
Conferência realizada em Angra do Heroísmo, Açores, de 9-12 de Setembro de 2013
Palavras-chave
Social networks Community partition Brokerage
Contexto Educativo
Citação
Cavique, 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.