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Ordered weighted averaging approaches for aggregating gradual trust and distrust
- Proceedings of XV Congreso Español sobre Tecnologías y Lógica Fuzzy ( ESTYLF 2010
, 2010
"... In this paper, we focus on the aggregation problem for (trust, distrust) couples in trust networks. In particular, we study approaches based on classical and induced ordered weighted averaging (OWA) operators. ..."
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In this paper, we focus on the aggregation problem for (trust, distrust) couples in trust networks. In particular, we study approaches based on classical and induced ordered weighted averaging (OWA) operators.
Strategies for incorporating knowledge defects and path length in trust aggregation
- in: Proceedings of IEAAIE2010, 2010
"... Abstract. The ability for a user to accurately estimate the amount of trust to be placed in a peer user is gaining more and more attention in social network applications. Trust aggregation provides this ability by identifying paths that connect users in the network, and by merging trust opinions exp ..."
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Abstract. The ability for a user to accurately estimate the amount of trust to be placed in a peer user is gaining more and more attention in social network applications. Trust aggregation provides this ability by identifying paths that connect users in the network, and by merging trust opinions expressed by users along these paths. However, as individual trust opinions are not always based on perfect knowledge, and since the quality of a trust estimation propagated along a given path may diminish as its length increases, mechanisms are needed to handle these imperfections. In this paper, we propose a set of trust aggregation operators that take into account knowledge defects and path length. We investigate their properties, and discuss how they may be implemented in practice, taking into account characteristics of the network such as the availability of a central authority, or the need to preserve users ’ privacy by not publically disclosing their trust information. 1
Fuzzy Sets and Systems ( ) – www.elsevier.com/locate/fss 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 ..."
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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 improved by using ordered weighted averaging techniques, or through the incorporation of knowledge defects. Experiments on a real world data set from CouchSurfing.org demonstrate that the best operators from a theoretical perspective are not always the most suitable ones in practice, and that the sophisticated aggregation methods can outperform the more obvious bilattice-based approaches.