Trust and distrust aggregation enhanced with path length incorporation

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• 作者：Nele Verbiest^a ; ^{Nele.Verbiest@UGent.be} ; Chris Cornelis^a ; ^b ; ^{chriscornelis@ugr.es} ; Patricia Victor^a ; ^{Patricia.Victor@UGent.be} ; Enrique Herrera-Viedma^b
• 关键词：Trust networks ; Aggregation operators ; Path length
• 刊名：Fuzzy Sets and Systems
• 出版年：2012
• 期刊代码：55_01650114
• 类别：cp
• 出版时间：1 September, 2012
• 卷：202
• 期：Complete
• 页码：61-74
• 文件大小：1004 K

摘要

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 generally contain less reliable information. In this paper, we introduce and evaluate several path length incorporating aggregation strategies in order to strike the right balance between generating more predictions on the one hand and maintaining a high prediction accuracy on the other hand.