Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/7676
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| Title: | CLIQUE COMMUNITIES IN SOCIAL NETWORKS |
| 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. |
| URI: | http://www.worldscientific.com/worldscibooks/10.1142/8503#t=toc
http://hdl.handle.net/10174/7676 |
| ISBN: | 978-981-4407-71-7 |
| Type: | bookPart |
| Appears in Collections: | CIMA - Publicações - Capítulos de Livros
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