Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph

Yuan Heng Chou, En Tzu Wang, Arbee L. P. Chen

2015

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 Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-103-8, pages 5-15. DOI: 10.5220/0005498400050015


in Bibtex Style

@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 - Volume 1: DATA,},
year={2015},
pages={5-15},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005498400050015},
isbn={978-989-758-103-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Finding Maximal Quasi-cliques Containing a Target Vertex in a Graph
SN - 978-989-758-103-8
AU - Chou Y.
AU - Wang E.
AU - Chen A.
PY - 2015
SP - 5
EP - 15
DO - 10.5220/0005498400050015