Document Type

Article

Publication Date

April 2014

Publication Title

IEEE Transactions on Systems, Man, and Cybernetics: Systems

ISSN

2168-2232

Abstract

Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networking applications, microblogging, or customer review sites. In this environment, trust is becoming an essential quality among user interactions and the recommendation for useful content and trustful users is crucial for all the members of the network. In this paper, we introduce a framework for handling trust in social networks, which is based on a reputation mechanism that captures the implicit and explicit connections between the network members, analyzes the semantics and dynamics of these connections, and provides personalized user recommendations to the network members.

Comments

This is a post-peer-review, pre-copyedit version of an article published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 44, Issue 4, 2014. The final authenticated version is available online at: https://doi.org/10.1109/TSMC.2013.2263128.
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
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