DocumentCode :
3730441
Title :
An algorithm for overlapping community detection in complex network
Author :
Yongliang Wu; Li He; Guanghui Yan; Fanglin Guo; Weitao Zheng;Abdul Basit Khan
Author_Institution :
School of Electronic, Information Engineering, Lanzhou Jiaotong University, China
fYear :
2015
Firstpage :
732
Lastpage :
738
Abstract :
In complex network, overlapping community structure is a more actual description of the structure of social networks. So, it is significant to analyze its overlapping community structure. After integrating the existing overlapping community detection algorithms and information theory, we summarize a definition of community from the perspective of information theory, then we present an algorithm to detect the overlapping community structure in complex networks after having learnt from the information dissemination theory. Experimental results illustrate that compared with the traditional definition of community and detection algorithms, the community that is detected by our algorithm have a more accurate physical meaning, meanwhile, this algorithm has a lower time complexity too.
Keywords :
"Complex networks","Clustering algorithms","Detection algorithms","Information theory","Time complexity","Topology"
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
Type :
conf
DOI :
10.1109/FSKD.2015.7382033
Filename :
7382033
Link To Document :
بازگشت