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.
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.
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|Item Type:||Conference Paper|
|Keywords:||Social network , Recommender system, Online communities|
|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 > Schools > School of Information Systems|
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 11:47|
|Last Modified:||23 Apr 2012 11:47|
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