Trust Management Framework for Social Networks
Inspired by the similarities between human trust and physical measurements, the authors propose a new system of trust metrics, composed by impression and confidence, which captures both human trust level and its uncertainty, while being intuitive and user friendly. Furthermore, based on measurement error propagation theory, they propose an evaluation framework to compute confidence according to impression transitivity and aggregation operations. Their framework can be used in all applications where human trust is involved, including various types of social networks. Experiments on a real social network validate their framework, as well as the enormous potential of their trust framework in various social network applications.