Abstract
Many social networking platforms have emerged on the Web, such as MySpace and Facebook. In those networks, most participants are usually physically unknown in real life and have no prior direct interactions with each other. Hence, it is necessary to form complex trust-oriented social networks with more trust related information and infer trust values between participants. The inferred trust results provide important indications for some applications, such as introducing products to trustworthy people or recruiting trustworthy employees from social networks. Traditional trust inference mechanisms are based on simple trust networks and can hardly deliver realistic trust results. In this paper, we first propose a complex trust-oriented social network structure containing trust values, social relations and recommendation roles. We also propose a novel Bayesian network based trust inference mechanism taking trust values, social relations and recommendation roles into account. Experiments demonstrate that our proposed trust inference mechanism performs well in complex trust-oriented social networks.
Original language | English |
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Title of host publication | 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009 |
Subtitle of host publication | Proceedings |
Place of Publication | Pistacaway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 996-1001 |
Number of pages | 6 |
Volume | 4 |
ISBN (Electronic) | 9780769538235 |
ISBN (Print) | 9781424453344 |
DOIs | |
Publication status | Published - 2009 |
Event | 2009 IEEE International Conference on Social Computing, SocialCom 2009 - Vancouver, BC, Canada Duration: 29 Aug 2009 → 31 Aug 2009 |
Other
Other | 2009 IEEE International Conference on Social Computing, SocialCom 2009 |
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Country/Territory | Canada |
City | Vancouver, BC |
Period | 29/08/09 → 31/08/09 |