… of reconstructed past places may present uncertainties and inaccuracies. In this … social
media and large area geographic visual data like Google Street View allow people to review …

… problem of trust prediction in directed social networks; therefore… trust prediction in [27] to
evaluate the performance of trust … on trust to handle various threats brought by uncertainty and …

… -art personalized approaches using social networks. We also … although the users’ social
trust network is integrated into the … minimize the uncertainty, Shannon entropy principle is used …

… [Methods] First, we identified and constructed a network for the relationship of the expert
groups with information fusion, complex network analysis, experts’ opinion and trust information. …

… in the areas of social networks and social capital, this Chapter … trust business, the next section
is going to offer a brief review … trust the other party not to take advantage of this uncertainty. …

… Another advantage of our approach is that it models the trust propagation in social networks.
… performance on cold start users, we evaluate a cold-start scenario in which the social trust …

… In Section 5, we evaluate the performance of our design and … the equation is the trust
propagation principle proposed by … Community structure detection in social networks based on …

… [Objective] This paper builds an automated detection model to effectively identify mis/dis-information
from social media, aiming to balance the speed and accuracy of processing …

… , scenarios analysis to explore key uncertainties, and can identify equitable … Given this review
of citizen and industry influence … on risk perceptions and social trust. Citizens are unlikely to …

… Abstract: In order to improve the accurateness of trust evaluation … based extended trust
propagation model (MSL-ETPM) was presented, which was composed of trust fusion and trust …