Finding and matching communities in social networks using data mining

Alsaleh, Slah, Nayak, Richi, & Xu, Yue (2011) Finding and matching communities in social networks using data mining. In Hong, Tzung-Pei, Wang, Leon Shyue-Liang, & Wiil, Uffe K (Eds.) Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining, IEEE Inc, Taiwan, pp. 389-393.

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The rapid growth in the number of users using social networks and the information that a social network requires about their users make the traditional matching systems insufficiently adept at matching users within social networks. This paper introduces the use of clustering to form communities of users and, then, uses these communities to generate matches. Forming communities within a social network helps to reduce the number of users that the matching system needs to consider, and helps to overcome other problems from which social networks suffer, such as the absence of user activities' information about a new user. The proposed system has been evaluated on a dataset obtained from an online dating website. Empirical analysis shows that accuracy of the matching process is increased using the community information.

Impact and interest:

9 citations in Scopus
1 citations in Web of Science®
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ID Code: 49802
Item Type: Conference Paper
Refereed: Yes
Keywords: Social network , Recommender system, Online communities
DOI: 10.1109/ASONAM.2011.90
ISBN: 9781612847580
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright © 2011 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
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Deposited On: 23 Apr 2012 01:47
Last Modified: 15 Jul 2017 13:01

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