… Although this work targeted the virtual social networks, ideas in trust modeling, trust graphs
and trust inference are proposed abstractly. Hence, the proposed material can also be used …

… trust in social networks, particularly applicable to the online community. We build up the
computational model of trust as … Our approach to the computational model of trust starts with the …

… on the real social network CIAO and EPINIONS, obtaining that the use of the sole trust measures
… values by pointing out that the weighted mean aggregation of all paths returns the best …

… generating small trusted graphs for large online social networks, … objective information (such
as d o m a i n ) for inferring trust. … with trust conflicts when aggregating the functional trust of …

… aggregation among shortest paths, min–max aggregation among shortest paths, weighted
mean aggregation among all paths, and min–max aggregation … level of trust based on trust …

… function, we propose a new strategy for aggregating trust values derived from multiple
trust paths. This strategy is based on the standard collaborative filtering used for predicting a …

… Trust Inference within online Social Networks. To do so, (i) we develop a novel TPS algorithm
for Trust … Then, we discuss different aggregation methods to aggregate the obtained trust …

… trust path, trust cycle. Hence we are proposing an algorithm (Trust-ACO) to calculate trust in
online social network… path with maximum aggregation of quality trust attribute (QoT) in a BLP. …

… Online Social Networks (OSNs) are becoming a popular method of meeting people and keeping
in touch with friends. OSNs resort to trust … of dbased on the aggregated opinions of other …

… on their interactions, so the trust of a user can be derived from aggregated ratings. In the …
trust assessment in social networks with arbitrary topologies. Here, we treat a social network as …