DocumentCode :
3720004
Title :
Community detection in social network: Literature review and research perspectives
Author :
Souhel Bouhali;Mehdi Ellouze
Author_Institution :
REGIM, Research Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Sfax, Tunisia
fYear :
2015
Firstpage :
139
Lastpage :
144
Abstract :
Social network community detection has occupied an important place in many scientific fields like biology, sociology, or computer science. This problem still attracted a lot of work. The challenge is how to identify inside these networks, groups of persons strongly linked and sharing the same preferences. As in the literature, there are many works trying to detect communities we tried in this paper to do a review of the most important ones and we tried to present some tips for improvement of obtained results.
Keywords :
"Clustering algorithms","Partitioning algorithms","Complex networks","Social network services","Image edge detection","Optimization","Classification algorithms"
Publisher :
ieee
Conference_Titel :
Service Operations And Logistics, And Informatics (SOLI), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/SOLI.2015.7367608
Filename :
7367608
Link To Document :
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