Several reliability-reputation models to support agents' decisions have been proposed in the past and many of them combine together reliability and reputation in a synthetic trust measure. In this context, we present a new trust model, called TRR, that considers, from a mathematical viewpoint, the interdependence between these two trust measures. This important feature of TRR is exploited to dynamically compute a parameter determining the importance of the reliability with respect to the reputation. Some experiments performed on the well-known ART platform show the advantages, in terms of effectiveness, introduced by the TRR approach.
DE MEO, P., Ferrara, E., Rosaci, D., Sarne', G. (2013). How to Improve Group Homogeneity in Online Social Networks. In 14th Workshop "From Objects to Agents", WOA 2013 (pp.73-77). Aachen : CEUR.
How to Improve Group Homogeneity in Online Social Networks
SARNE' G
2013
Abstract
Several reliability-reputation models to support agents' decisions have been proposed in the past and many of them combine together reliability and reputation in a synthetic trust measure. In this context, we present a new trust model, called TRR, that considers, from a mathematical viewpoint, the interdependence between these two trust measures. This important feature of TRR is exploited to dynamically compute a parameter determining the importance of the reliability with respect to the reputation. Some experiments performed on the well-known ART platform show the advantages, in terms of effectiveness, introduced by the TRR approach.
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