Finding and matching communities in social networks using data mining
Contribuinte(s) |
Hong, Tzung-Pei Wang, Leon Shyue-Liang Wiil, Uffe K |
---|---|
Data(s) |
2011
|
Resumo |
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. |
Identificador | |
Publicador |
IEEE Inc |
Relação |
DOI:10.1109/ASONAM.2011.90 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. |
Direitos |
Copyright © 2011 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. Other copying, reprint, or republication requests should be addressed to: IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, P.O. Box 133, Piscataway, NJ 08855-1331. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors’ opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors, the IEEE Computer Society, or the Institute of Electrical and Electronics Engineers, Inc. |
Fonte |
School of Information Systems; Science & Engineering Faculty |
Palavras-Chave | #080109 Pattern Recognition and Data Mining #Social network #Recommender system #Online communities |
Tipo |
Conference Paper |