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:Oshodin, E., Chiclana, F. and Ahmadi, S. (2015) Social Trust in a Familiar Community. In: M. Bramer and M. Petridis (editors), Research and Development in Intelligent Systems XXXII. Incorporating Applications and Innovations in Intelligent Systems XXIII, Springer International Publishing, pp. 119-132
Research Group:Centre for Computational Intelligence