IEEE Transactions on Systems, Man, and Cybernetics: Systems
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.
Magdalini Eirinaki, Malamati Louta, and Iraklis Varlamis. "A Trust-Aware System for Personalized User Recommendations in Social Networks" IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014): 409-421. https://doi.org/10.1109/TSMC.2013.2263128