Dynamic communities in referral networks Export

@article{citeulike:3203955, abstract = {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.}, address = {Amsterdam, The Netherlands, The Netherlands}, author = {Yolum, P\inar and Singh, Munindar P.}, citeulike-article-id = {3203955}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1233967}, issn = {1570-1263}, journal = {Web Intelli. and Agent Sys.}, keywords = {network, referral, socail}, number = {2}, pages = {105--116}, posted-at = {2008-09-08 06:02:28}, priority = {2}, publisher = {IOS Press}, title = {Dynamic communities in referral networks}, url = {http://portal.acm.org/citation.cfm?id=1233967}, volume = {1}, year = {2003} }

TY - JOUR ID - citeulike:3203955 L3 - citeulike-article-id:3203955 N2 - 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. IS - 2 JF - Web Intelli. and Agent Sys. SN - 1570-1263 AD - Amsterdam, The Netherlands, The Netherlands EP - 116 TI - Dynamic communities in referral networks PB - IOS Press VL - 1 SP - 105 KW - network KW - referral KW - socail AU - Yolum, P\inar AU - Singh, Munindar PY - 2003/// UR - http://portal.acm.org/citation.cfm?id=1233967 ER -