Trust propagation algorithm based on learning automata for inferring local trust in online social networks
作者：
Highlights：
• We present a new strategy for aggregating trust values derived from multiple paths.
• We propose a trust propagation algorithm based on distributed learning automata.
• We present empirical evaluations based on well-known trust propagation algorithms.
• Using the proposed aggregation strategy increases the accuracy of trust inference.
• The proposed algorithm can efficiently predict trust with a high accuracy.
摘要
•We present a new strategy for aggregating trust values derived from multiple paths.•We propose a trust propagation algorithm based on distributed learning automata.•We present empirical evaluations based on well-known trust propagation algorithms.•Using the proposed aggregation strategy increases the accuracy of trust inference.•The proposed algorithm can efficiently predict trust with a high accuracy.
论文关键词：Trust,Trust propagation,Trust aggregation,Learning automata,Social networks
论文评审过程：Received 28 December 2016, Revised 22 June 2017, Accepted 26 June 2017, Available online 27 June 2017, Version of Record 3 February 2018.
论文官网地址：https://doi.org/10.1016/j.knosys.2017.06.034
