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An Algorithm to Discover the k-Clique Cover in Networks

Published: 07 October 2009 Publication History

Abstract

In social network analysis, a k-clique is a relaxed clique, i.e., a k-clique is a quasi-complete sub-graph. A k-clique in a graph is a sub-graph where the distance between any two vertices is no greater than k. The visualization of a small number of vertices can be easily performed in a graph. However, when the number of vertices and edges increases the visualization becomes incomprehensible. In this paper, we propose a new graph mining approach based on k-cliques. The concept of relaxed clique is extended to the whole graph, to achieve a general view, by covering the network with k-cliques. The sequence of k-clique covers is presented, combining small world concepts with community structure components. Computational results and examples are presented.

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Cited By

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  • (2015)A System for Analyzing Criminal Social NetworksProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 201510.1145/2808797.2808827(1017-1023)Online publication date: 25-Aug-2015
  • (2014)An Algorithm to Condense Social Networks and Identify BrokersAdvances in Artificial Intelligence -- IBERAMIA 201410.1007/978-3-319-12027-0_27(331-343)Online publication date: 24-Nov-2014
  • (2012)A graph-based approach to WSD using relevant semantic trees and n-cliques modelProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_19(225-237)Online publication date: 11-Mar-2012
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  1. An Algorithm to Discover the k-Clique Cover in Networks

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    Published In

    cover image Guide Proceedings
    EPIA '09: Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
    October 2009
    655 pages
    ISBN:9783642046858
    • Editors:
    • Luís Seabra Lopes,
    • Nuno Lau,
    • Pedro Mariano,
    • Luís M. Rocha

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 07 October 2009

    Author Tags

    1. Data mining
    2. graph mining
    3. social networks

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    View all
    • (2015)A System for Analyzing Criminal Social NetworksProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 201510.1145/2808797.2808827(1017-1023)Online publication date: 25-Aug-2015
    • (2014)An Algorithm to Condense Social Networks and Identify BrokersAdvances in Artificial Intelligence -- IBERAMIA 201410.1007/978-3-319-12027-0_27(331-343)Online publication date: 24-Nov-2014
    • (2012)A graph-based approach to WSD using relevant semantic trees and n-cliques modelProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-28604-9_19(225-237)Online publication date: 11-Mar-2012
    • (2011)Word sense disambiguationProceedings of the 16th international conference on Natural language processing and information systems10.5555/2026011.2026023(112-124)Online publication date: 28-Jun-2011
    • (2010)UMCC-DLSI: Integrative resource for disambiguation taskProceedings of the 5th International Workshop on Semantic Evaluation10.5555/1859664.1859759(427-432)Online publication date: 15-Jul-2010

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