When experts agree: using non-affiliated experts to rank popular topics
ACM Transactions on Information Systems (TOIS)
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Co-evolution of social and affiliation networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A Dynamic Rearrangement Mechanism of Web Page Layouts Using Web Agents
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
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In this paper, we present a multi-agent architecture which can reduce user's load when searching for affiliates in a network of community websites. We give a precise definition of the environment, networks of community websites. The system's architecture is designed with scalability and easy interfacing for brokers and matchmakers in mind.We have developed a simulator to see how sites or blogs evolve with affiliation. We also show an example of its output results after a 1500-iteration long experiment on a network of community blogs. In our conclusion, we state several applications of critical interest and further research paths on the subject.