The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Attack-resistant trust metrics for public key certification
SSYM'98 Proceedings of the 7th conference on USENIX Security Symposium - Volume 7
SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
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In real life, the strength of the relationship among people indicates the level of trust. People tend to trust their friends, family members' opinions rather than unfamiliar one. Since this is a human characteristic and the phenomena of social network services which allow users to post their information, diaries, albums, and experiences, the need of identifying reliable people within social networks become a fundamental goal to prevent unreliable users accessing these rich information. In this study, we propose a capacity-based algorithm that adapts Advogato trust metric for identifying people of trust based on weighted relationships. Our method finds all possible trustworthy users who are connected to a target user in his/her personal network and prevents unreliable users from impacting on a personal network. We present experimental results that show how our algorithm performs better than existing alternatives.