Ahn, J., Taieb-Maimon, M., Sopan, A., Plaisant, C., Shneiderman, B.
November 2010
Proc. Of Social Computing, Behavioral-Cultural Modeling and Prediction conference, pp. 309-316, 2011.
Information visualization is a powerful tool for analyzing dynamic nature of social communities. Using Nation of Neighbors community network as a testbed, we propose five principles of implementing temporal visualizations for social networks and present two research prototypes: NodeXL and TempoVis. Three different states are defined in order to visualize the temporal changes of social networks. We designed the prototypes to show the benefits of the proposed ideas by letting users interactively explore temporal changes of social networks.
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