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Other Titles: Quantitative Modelling in Marketing and Management
Authors: Santos, Jorge
Cavique, Luís
Mendes, Armando
Editors: Kun-Huang, Huarng
Moutinho, Luiz
Keywords: Data mining
social networks
graph mining
Issue Date: Dec-2012
Publisher: World Scientific Publishing Co. Pte. Ltd.
Citation: AU - Armando B. Mendes AU - Jorge M.A. Santos AU - Luís Cavique SP - 469-490 TI - CLIQUE COMMUNITIES IN SOCIAL NETWORKS T2 - Quantitative Modelling in Marketing and Management SN - 978-981-4407-71-7 PB - WORLD SCIENTIFIC
Abstract: There is a pressing need for new pattern recognition tools and statistical methods to quantify large graphs and predict the behaviour of network systems, due to the large amount of data which can be extracted from the web. In this work a graph mining metric, based on k-clique communities, is used, allowing a better understanding of the network structure. The proposed metric shows that for different graph families correspond different k-clique sequences.
ISBN: 978-981-4407-71-7
Type: bookPart
Appears in Collections:CIMA - Publicações - Capítulos de Livros

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