Title
A comparative study of the measures for evaluating community structure in bipartite networks.
Abstract
•A memetic algorithm, MACD-BNs, is proposed to find communities in bipartite graphs.•Four global measures are compared by employing MACD-BNs.•The measure of four which has the best relative performance is discovered.•Some measures’ limitations are discovered.
Year
DOI
Venue
2018
10.1016/j.ins.2018.03.036
Information Sciences
Keywords
Field
DocType
Community detection,Bipartite networks,Global measures
Memetic algorithm,Community structure,Bipartite graph,Artificial intelligence,Complex network,Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
448
0020-0255
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
Xiaodong Wang1131.69
Jing Liu21043115.54