Computational & Mathematical Organization Theory
Self-Organization in Biological Systems
Self-Organization in Biological Systems
The Wisdom of Crowds
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Social Information Processing in News Aggregation
IEEE Internet Computing
Dynamics of collaborative document rating systems
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Tagging: People-powered Metadata for the Social Web
Tagging: People-powered Metadata for the Social Web
ISF special issue on emerging social and legal aspects of information systems with Web 2.0
Information Systems Frontiers
Identifying valuable customers on social networking sites for profit maximization
Expert Systems with Applications: An International Journal
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The core spirit for web 2.0 is collective wisdom (i.e., the contribution of users, and the creation of value through the interaction between users). Social bookmarking sites integrate all kind of contents on the Internet (especially those generated by users), and play the role of pivot between content production and consumption. This paper mainly investigates how the positive/negative feedbacks would impact the quality of the collective wisdom within the autonomous service environments (i.e., the social bookmarking sites). Our research findings show that the performance of social bookmarking sites has a tradeoff between collective filtering (i.e., results of positive feedbacks) and front page update frequency that should be carefully managed for ensuring the good quality in collective wisdom and service performance. Moreover, the negative feedback could also shape the collective wisdom and stabilize the system performance. The research findings are believed to provide some managerial guidelines for web 2.0 sites design and operations.