Title
Community structure in complex networks.
Abstract
Community structure exists widely in most of actual systems and networks.Investigation on community structure is an important way to understand both the structure and function of networks.In this paper,we review main results in the study of community structure in complex networks.Firstly,we focus on the unweighted and undirected networks.Definitions of community structure and algorithms that detect communities are introduced.Meanwhile some measurements on detecting algorithms and classical networks are listed.The emphasis of our work is evaluating algorithms using measurements and the results for classical networks.Secondly we extend study to weighted and undirected networks.Finally,the comparison of some algorithms and a brief introduction to the relationship between community structure and network function are given,and prospect of study on community structure in the future is outlined.
Year
Venue
Field
2018
EGC
Community structure,Structure and function,Computer science,Complex network,Artificial intelligence,Cluster analysis,Machine learning
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Santo Fortunato14209212.38