Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.2/1852
Título: Clique communities in social networks
Autor: Cavique, Luís
Mendes, Armando Brito
Santos, Jorge M. Azevedo
Palavras-chave: Social networks
Clique communities
Data: 2011
Resumo: Given the large amount of data provided by the Web 2.0, there is a pressing need to obtain new metrics to better understand the network structure; how their communities are organized and the way they evolve over time. Complex network and graph mining metrics are essentially based on low complexity computational procedures like the diameter of the graph, clustering coefficient and the degree distribution of the nodes. The connected communities in the social networks have, essentially, been studied in two contexts: global metrics like the clustering coefficient and the node groups, such as the graph partitions and clique communities.
Peer review: yes
URI: http://hdl.handle.net/10400.2/1852
Aparece nas colecções:Ciências e Tecnologia - Capítulos/artigos em livros internacionais / Book chapters/papers in international books

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