Usage patterns of collaborative tagging systems
Journal of Information Science
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Betweenness centrality as an indicator of the interdisciplinarity of scientific journals
Journal of the American Society for Information Science and Technology
Understanding the efficiency of social tagging systems using information theory
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Social influence and the diffusion of user-created content
Proceedings of the 10th ACM conference on Electronic commerce
Social Network Model Based on Keyword Categorization
ASONAM '09 Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining
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Collaborative web 2.0 applications, such as blogs, collaborative bookmarking, file sharing etc., have increased significantly in popularity. In these user-centric applications users are not only consumers, but also contributors. By contributing content to the system, users become part of the network and relationships between users and content can be derived. Social network metrics can be used to identify key users, however, evaluating network metrics for a large scale network can be expensive. For this reason this paper explores the utility of localised network metrics. Experimental results and analysis are presented on a large collaborative IBM bookmarking network called Dogear to investigate the ability to identify central users.