Paper Info
Title
Community detection in Attributed Network.
Abstract
Graph clustering techniques are very useful for detecting densely connected groups in large graphs. Many existing graph clustering methods mainly focus on the topological structure, but ignore the vertex properties. Existing graph clustering methods have been recently extended to deal with nodes attribute. First we motivate the interest in the study of this issue. Then we review the main approaches proposed to deal with this problem. We propose a comparative study of some existing attributed network community detection algorithm on both synthetic data and on real world data.
Year
DOI
Venue
2018
10.1145/3184558.3191570
WWW '18: The Web Conference 2018 Lyon France April, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5640-4
3
PageRank 
References 
Authors
0.40
0
4
Name
Order
Citations
PageRank
Issam Falih153.85
Nistor Grozavu26716.76
Rushed Kanawati323926.45
Younès Bennani426953.18