Bongshin Lee
Catherine Plaisant
Jean-Daniel Fekete
ABSTRACT
Our goal is to define a list of tasks for graph visualization that has enough detail and specificity to be useful to: 1) designers who want to improve their system and 2) to evaluators who want to compare graph visualization systems. In this paper, we suggest a list of tasks we believe are commonly encountered while analyzing graph data. We define graph specific objects and demonstrate how all complex tasks could be seen as a series of low-level tasks performed on those objects. We believe that our taxonomy, associated with benchmark datasets and specific tasks, would help evaluators generalize results collected through a series of controlled experiments.
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Digital Library
- Amar, R., Eagan, J., and Stasko, J. Low-Level Components of Analytic Activity in Information Visualization, Proceedings of the Symposium on Information Visualization (InfoVis '05), 111--117, 2005. Google ScholarDigital Library
- InfoVis 2003 Contest: Visualization and Pair Wise Comparison of Trees, http://www.cs.umd.edu./hcil/iv03contest.Google Scholar
- Kang, H., Plaisant, C., Lee, B., Bederson, B., NetLens: Iterative Exploration of Content-Actor Network Data, to appear in Proceedings of IEEE Symposium on Visual Analytics Science and Technologies (VAST2006)Google Scholar
- Lee, B., Parr, C. S., Plaisant, C., Bederson, B. B., Veksler, V. D. Gray, W. D., and Kotfila, C. TreePlus: Interactive Exploration of Networks with Enhanced Tree Layouts, IEEE TVCG Special Issue on Visual Analytics, 12(6), 1414--1426. Google ScholarDigital Library
- Plaisant, C. The Challenge of Information Visualization Evaluation, Proceedings of the working conference on Advanced Visual Interfaces (AVI '04), 109--116, 2004. Google ScholarDigital Library
- Shneiderman, B. The eyes have it: A task by data type taxonomy for information visualizations, Proceedings of the Symposium on Visual Languages (VL '96), 336--343, 1996. Google ScholarDigital Library
- Shneiderman, B. and Aris, A., Network Visualization by Semantic Substrates, to appear in Proceedings of IEEE Symposium on Information Visualization (Infovis2006)Google Scholar
Index Terms
- Task taxonomy for graph visualization
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