Referral Web: combining social networks and collaborative filtering
Communications of the ACM
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Community-based service location
Communications of the ACM
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
IEEE Internet Computing
Computer
Proceedings of the 27th International Conference on Very Large Data Bases
Identifying Communities of Practice through Ontology Network Analysis
IEEE Intelligent Systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Emergent properties of referral systems
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Semantic constraints for trust transitivity
APCCM '05 Proceedings of the 2nd Asia-Pacific conference on Conceptual modelling - Volume 43
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multiagent and Grid Systems - Engineering Environments in Multiagent Systems
Topology generation for web communities modeling
SOFSEM'05 Proceedings of the 31st international conference on Theory and Practice of Computer Science
Hi-index | 0.00 |
Consider a decentralized agent-based approach for service location, where agents provide and consume services, and also cooperate with each other by giving referrals to other agents. That is, the agents form a referral network. Based on feedback from their users, the agents judge the quality of the services provided by others. Further, based on the judgments of service quality, the agents also judge the quality of the referrals given by others. The agents can thus adaptively select their neighbors in order to improve their local performance. The choices by the agents cause communities to emerge. According to our definition, an agent belongs to a community only if it has been useful to the other members of the community in prior interactions regarding a particular topic. Hence, the membership in different communities is determined based on relationships among the agents. This paper compares topic-sensitive communities of the above kind with communities as studied in traditional link analysis. It studies the correlation between the two kinds of communities as they emerge in referral networks and evaluates the two kinds of communities in terms of their effectiveness in locating service providers.