PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
An integrated trust and reputation model for open multi-agent systems
Autonomous Agents and Multi-Agent Systems
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Certified reputation: how an agent can trust a stranger
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Using Trustworthy and Referee Agents to Secure Multi-Agent Systems
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Maintenance-based trust for multi-agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Social Network-Based Trust for Agent-Based Services
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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Online social networks are enjoying drastic increase in their population and connectivity. One of the fundamental issues in these networks is trust, which is an essential factor in quality of the connections among diverse nodes in the network. To address the efficiency in the interactions among nodes, we propose in this paper a trust-based architecture applicable to maintain interactions in multi-agent-based social networks. We provide a detailed discussion over the network formation by taking into account the edge creation factors classified as homophily, confounding and influence. We systematically inspire different involving factors to observe evolution of trust-based interconnections in a microscopic manner. We also provide declarative and numerical analysis of the proposed model and its assessment and discuss the system implementation, along with simulations obtained from a number of executions compared with the broadly known frameworks.