Item

From Credit and Risk to Trust: Towards a Credit Flow Based Trust Model for Social Networks

Loading...
Thumbnail Image

Fulltext URI

Document type

Additional Information

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Association for Computing Machinery

Abstract

Trust management is a paramount issue in social networks. Existing models based on global reputation are simplistic as they do not support personalised measures for individual users. Models based on local trust propagation tend to be too subjective to be reliable as they do not consider a social network in its entirety. More importantly, neither model has taken the risk factor into the consideration of trust management. In this paper, we contribute a novel trust model that allows personalised measures to be naturally established on objective grounds through tracing credit flows within a social network, where the trust between a pair of users can be derived from the credit flowing from one into the other and the relative risk disparity between them. This model uses power flows in an electrical grid as a metaphor for the credit flows in a social network and is based on the hypothesis that the credit flows in a social network are similar in nature to the power flows in an electrical grid. Experiments with a real-world dataset have proved the hypothesis and the results have shown that the credit flow based trust model can derive not only personalised but also more accurate trust measures than existing models do.

Description

Mao, Yuqing; Shen, Haifeng; Sun, Chengzheng (2012): From Credit and Risk to Trust: Towards a Credit Flow Based Trust Model for Social Networks. Proceedings of the 2012 ACM International Conference on Supporting Group Work. DOI: 10.1145/2389176.2389208. New York, NY, USA: Association for Computing Machinery. pp. 209–218. Sanibel Island, Florida, USA

Keywords

credit flow, trust inference, social networking

Citation

URI

Collections

Endorsement

Review

Supplemented By

Referenced By


Load citations
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.