Predicting social trust from implicit feedback

Oshodin, Eseosa

Abstract

Element of trust exists in every network structure of diverse fields, but suitable computational methods for evaluating the trust remain a problem since there are different definitions of trust in diverse fields where several entities interact with each other. As there might be some social entities (e.g. social actors) who could be deceived by others behaving maliciously in a social network, there is the need to compute the trustworthiness of entities in determining which entity will be more reliable to other entities for future interaction. This paper will reveal how the reciprocity from analysed social activities could be used in predicting the trustworthiness of entities based on their activeness in a social network. An example will be used to demonstrate the effectiveness of the proposed framework’s application.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: SGAI 2023
• Start Date: Dec 12, 2023
• Acceptance Date: Aug 29, 2023
• Online Publication Date: Nov 8, 2023
• Publication Date: Nov 8, 2023
• Deposit Date: Dec 18, 2023
• Publicly Available Date: Nov 9, 2024
• Volume: 14381
• Pages: 228-233
• Series Title: Lecture Notes in Computer Science
• Book Title: Artificial Intelligence XL
• ISBN: 9783031479939
• DOI: https://doi.org/10.1007/978-3-031-47994-6_20
• Keywords: Trust, Social network, Network graph Theory
• Public URL: https://uwe-repository.worktribe.com/output/11530765
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-031-47994-6_20