An algorithm for drawing general undirected graphs
Information Processing Letters
DNA visual and analytic data mining
VIS '97 Proceedings of the 8th conference on Visualization '97
An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Concept decompositions for large sparse text data using clustering
Machine Learning
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
Self-Organizing Maps
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Survey of Radial Methods for Information Visualization
IEEE Transactions on Visualization and Computer Graphics
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INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
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Large data repositories such as electronic journal databases, document corpora and wikis often organise their content into categories. Librarians, researchers, and interested users who wish to know the content distribution among different categories face the challenge of analysing large amounts of data. Information visualization can assist the user by shifting the analysis task to the human visual sub-system. In this paper we describe three visualization methods we have implemented, which help users understand category hierarchies and content distribution within large document repositories, and present an evaluation of these visualizations, pointing out each of their relative strengths for communicating information about the underlying category structure.