Niklas Elmqvist, Ph.D.


  
TimeMatrix
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Synopsis: Aggregated matrix representations for temporally changing social networks.

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Details

  • Start date: January, 2009
  • Parent project: hieragg

Visualization plays a crucial role in understanding dynamic social networks, and we identified visual analytics tasks at three levels (i.e., group, subgroup, and individual). Although widely used node-link-based visualization techniques have been demonstrated to be effective, we found that they also have some limitations in representing temporal changes, particularly at the individual and subgroup levels. To overcome these limitations, we present a new network visualization technique, called “TimeMatrix,” based on a matrix representation. Interaction techniques, such as overlay controls, a temporal range slider, semantic zooming, and integrated network statistical measures, support analysts in studying temporal social networks. To validate our design, we present a case study of analyzing inter-organizational collaboration data with three social scientists. The case study demonstrates how TimeMatrix may help analysts gain insights about the temporal aspects of network data that can be subsequently tested with network analytic methods.

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Publications

  • J.-S. Yi, N. Elmqvist, S. Lee. TimeMatrix: Visualizing Temporal Social Networks Using Interactive Matrix-Based Visualizations. International Journal of Human-Computer Interaction, 26(11-12):1031-1051, 2010. [YouTube] [BibTeX] [Website]

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