DocumentCode :
3667290
Title :
Evaluating the effect of topic consideration in identifying communities of rating-based social networks
Author :
Ali Reihanian;Behrouz Minaei-Bidgoli;Muhammad Yousefnezhad
Author_Institution :
Department of Information Technology, Mazandaran University of Science and Technology, Babol, Iran
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Finding meaningful communities in social network has attracted the attentions of many researchers. The community structure of complex networks reveals both their organization and hidden relations among their constituents. Most of the researches in the field of community detection mainly focus on the topological structure of the network without performing any content analysis. Nowadays, real world social networks are containing a vast range of information including shared objects, comments, following information, etc. In recent years, a number of researches have proposed approaches which consider both the contents that are interchanged in the networks and the topological structures of the networks in order to find more meaningful communities. In this research, the effect of topic analysis in finding more meaningful communities in social networking sites in which the users express their feelings toward different objects (like movies) by the means of rating is demonstrated by performing extensive experiments.
Keywords :
"Motion pictures","Social network services","Detection algorithms","Algorithm design and analysis","Mathematical model","Clustering algorithms","Image edge detection"
Publisher :
ieee
Conference_Titel :
Information and Knowledge Technology (IKT), 2015 7th Conference on
Print_ISBN :
978-1-4673-7483-5
Type :
conf
DOI :
10.1109/IKT.2015.7288793
Filename :
7288793
Link To Document :
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