Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Limited reputation sharing in P2P systems
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Robust incentive techniques for peer-to-peer networks
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Learning trust strategies in reputation exchange networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Cooperation through reciprocity in multiagent systems: an evolutionary analysis
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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Reciprocity is the basis for cooperation between agents in settings without payments. Research has shown that cooperation through reciprocity can emerge if reputation information is available. Various reputation mechanisms have been proposed, which are either not efficient or vulnerable to errors in perception. We propose a reputation mechanism based on centrality, which outperforms existing mechanisms in terms of efficiency and robustness. To evaluate our approach, we first conduct numerical simulations where we analyze different centrality measures. We then use the `winning' measure in a behavioral experiment to evaluate its effectiveness with real users. Our results are that distance-based centrality measures are most suitable for multi-agent systems. Furthermore, humans adopt strategies based on centrality for sending requests, but not for processing them.