Social navigation: modeling, simulation, and experimentation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
ReMarkables: A Web-Based Research Collaboration Support System Using Social Bookmarking Tools
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Implications of Writing, Reading, and Tagging on the Web for Reflection Support in Informal Learning
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Using tag-clouds for supporting reflection in self-organised learning
International Journal of Technology Enhanced Learning
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The paper describes an experiment on the navigation efficiency of social bookmarking service for information discovery. The purpose is to evaluate the effects of navigation information that can be used in choosing users' libraries, which includes the number of bookmarks in each library, the ratio of user's bookmarks in a bookmark collection, and the ratio of bookmarks with certain tags in each library. The experiment was performed by computer simulation for an example real dataset. The navigation efficiency was evaluated by the average number of bookmarks browsed to find a randomly selected target bookmark for each randomly selected tag. The result shows that all these information effect on the navigation efficiency with statistical significance.