The Bridge Edge Label Propagation for Overlapping Community Detection in Social Networks

2014 ◽  
pp. 97-102 ◽  
Author(s):  
Jui-Le Chen ◽  
Jen-Wei Hu ◽  
Chu-Sing Yang
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Label Propagation ◽  
Edge Label ◽  
Overlapping Community Detection ◽  
Overlapping Community

Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks

2012 ◽  
Vol 27 (3) ◽  
pp. 468-479 ◽  
Author(s):  
Zhi-Hao Wu ◽  
You-Fang Lin ◽  
Steve Gregory ◽  
Huai-Yu Wan ◽  
Sheng-Feng Tian
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Label Propagation ◽  
Overlapping Community Detection ◽  
Overlapping Community

Community Detection in Large-Scale Social Networks

2018 ◽  
pp. 189-206 ◽  
Author(s):  
S Rao Chintalapudi ◽  
M. H. M. Krishna Prasad
Keyword(s):  
Social Networks ◽  
Community Detection ◽  
Large Scale ◽  
The Other ◽  
Edge Density ◽  
Challenging Problem ◽  
Overlapping Community Detection ◽  
Clustering Problem ◽  
Detection Algorithms ◽  
Overlapping Community

Community Structure is one of the most important properties of social networks. Detecting such structures is a challenging problem in the area of social network analysis. Community is a collection of nodes with dense connections than with the rest of the network. It is similar to clustering problem in which intra cluster edge density is more than the inter cluster edge density. Community detection algorithms are of two categories, one is disjoint community detection, in which a node can be a member of only one community at most, and the other is overlapping community detection, in which a node can be a member of more than one community. This chapter reviews the state-of-the-art disjoint and overlapping community detection algorithms. Also, the measures needed to evaluate a disjoint and overlapping community detection algorithms are discussed in detail.

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