Trust and distrust aggregation enhanced with path length incorporation

Trust and distrust aggregation enhanced with path length incorporation

Trust networks are social networks in which users can assign trust scores to each other. In order to estimate these scores for agents that are indirectly connected through the network, a range of trust score aggregators has been proposed. Currently, none of them takes into account the length of the paths that connect users; however, this appears to be a critical factor since longer paths genera...

Aggregation of Gradual Trust and Distrust

Trust and distrust are two increasingly important metrics in social networks, reflecting users’ attitudes and relationships towards each other. In this paper, we study the indirect derivation of these metrics’ values for users that do not know each other, but are connected through the network. In particular, we focus on the aggregation step that is required for fusing trust and distrust informa...

Bilattice-Based Aggregation Operators for Gradual Trust and Distrust

Trust and distrust are two increasingly important metrics in social networks. Since many of these networks are very large, it is only natural that not all users know each other. To this aim, propagation and aggregation operators are often used to estimate (dis)trust relations for users that are not directly connected through the network. In this paper, we introduce bilattice-based aggregation a...

Practical aggregation operators for gradual trust and distrust

Trust and distrust are two increasingly important metrics in social networks, reflecting users’ attitudes and relationships towards each other. In this paper, we study the indirect derivation of these metrics’ values for users that do not know each other, but are connected through the network. In particular, we study bilattice-based aggregation approaches and investigate how they can be improve...

Trust, Distrust, and Power