DocumentCode :
2036600
Title :
Community detection for large scale social network sites
Author :
Lee, Ingyu ; On, Byung-Won
Author_Institution :
Sorrell Coll. of Bus., Troy Univ., Troy, AL, USA
fYear :
2012
fDate :
15-18 March 2012
Firstpage :
1
Lastpage :
5
Abstract :
Social networking sites, such as YouTube, Flickr, Livejournal and Orkut, are getting popular with the increasing number of Internet users. As a consequence, community detection on social network sites becomes more important and have been studied by many researchers. However, most of the proposed algorithms are used to detect communities on small scale social networks which limits studying large scale social network sites. In this paper, we are proposing an efficient community detection algorithm for large scale social networks.
Keywords :
Internet; social sciences; Flickr; Internet users; Livejournal; Orkut; YouTube; community detection algorithm; large scale social network sites; social networking sites; Clustering algorithms; Communities; Indexes; Partitioning algorithms; Peer to peer computing; Program processors; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon, 2012 Proceedings of IEEE
Conference_Location :
Orlando, FL
ISSN :
1091-0050
Print_ISBN :
978-1-4673-1374-2
Type :
conf
DOI :
10.1109/SECon.2012.6196954
Filename :
6196954
Link To Document :
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