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