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Authors: Yuan Heng Chou 1 ; En Tzu Wang 2 and Arbee L. P. Chen 3

Affiliations: 1 National Tsing Hua University, Taiwan ; 2 Industrial Technology Research Institute, Taiwan ; 3 National Chengchi University, Taiwan

Keyword(s): Dense Sub-graphs, Quasi-cliques, Maximal Quasi-cliques, Maximal Cliques.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: Many real-world phenomena such as social networks and biological networks can be modeled as graphs. Discovering dense sub-graphs from these graphs may be able to find interesting facts about the phenomena. Quasi-cliques are a type of dense graphs, which is close to the complete graphs. In this paper, we want to find all maximal quasi-cliques containing a target vertex in the graph for some applications. A quasi-clique is defined as a maximal quasi-clique if it is not contained by any other quasi-cliques. We propose an algorithm to solve this problem and use several pruning techniques to improve the performance. Moreover, we propose another algorithm to solve a special case of this problem, i.e. finding the maximal cliques. The experiment results reveal that our method outperforms the previous work both in real and synthetic datasets in most cases.

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Paper citation in several formats:
Chou, Y.; Wang, E. and Chen, A. (2015). Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph. In Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA; ISBN 978-989-758-103-8; ISSN 2184-285X, SciTePress, pages 5-15. DOI: 10.5220/0005498400050015

@conference{data15,
author={Yuan Heng Chou. and En Tzu Wang. and Arbee L. P. Chen.},
title={Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA},
year={2015},
pages={5-15},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005498400050015},
isbn={978-989-758-103-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - DATA
TI - Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph
SN - 978-989-758-103-8
IS - 2184-285X
AU - Chou, Y.
AU - Wang, E.
AU - Chen, A.
PY - 2015
SP - 5
EP - 15
DO - 10.5220/0005498400050015
PB - SciTePress