@inproceedings{aca4e40fe6d8412e8bce5d1e1bdd7468,
title = "Pushing the envelope in overlapping communities detection",
abstract = "Discovering the hidden community structure is a fundamental problem in network and graph analysis. Several approaches have been proposed to solve this challenging problem. Among them, detecting overlapping communities in a network is a usual way towards understanding the features of networks. In this paper, we propose a novel approach to identify overlapping communities in large complex networks. It makes an original use of a new community model, called k-clique-star, to discover densely connected structures in social interactions. We show that such model allows to ensure a minimum density on the discovered communities and overcomes some weaknesses of existing cohesive structures. Experimental results demonstrate the effectiveness and efficiency of our overlapping community model in a variety of real graphs.",
keywords = "Community detection, Graph analysis, Overlapping community detection, Social networks",
author = "Said Jabbour and Nizar Mhadhbi and Badran Raddaoui and Lakhdar Sais",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 17th International Symposium on Intelligent Data Analysis, IDA 2018 ; Conference date: 24-10-2018 Through 26-10-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-030-01768-2\_13",
language = "English",
isbn = "9783030017675",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "151--163",
editor = "Arno Siebes and Wouter Duivesteijn and Antti Ukkonen",
booktitle = "Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, Proceedings",
}