Social Trust in a Familiar Community
Most computation of social trust have been used for maintaining communities of individuals, based on their past activities. The behaviour of idle individuals or non-contributors to the communities have been totally ignored in the computation as they might affect the representation of the trust computed for the individuals. If the trust for an individual have been misrepresented, other individuals in the community will erroneously disengage or engage with the individual. In this paper, a new trust metric is proposed which is based on user’s pattern of interaction that will be able to assist other users in their decision making on whether to join or leave a community. Different trust features are analysed to evaluate trust values for each user, which is used to determine the trust communities of the users.
Citation : Eseosa Oshodin, Francisco Chiclana, and Samad Ahmadi: Social Trust in a Familiar Community. Accepted for presentation at the AI-2015: Cambridge, UK, December 15th-17th 2015
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)
Peer Reviewed : Yes