Multi-Fisheye for Interactive Visualization of Large Graphs

By selectively zooming in and zooming out visualizations, the fisheye technique allows users to study details while maintaining context. In this paper, weintroduce a multi-fisheye technique, which amounts to introducing several fisheyes in a visualization at the same time. Our multi-fisheye technique isbased on partitioning the visualization's display area and applying a fisheye algorithm inside each partition. While we demonstrate the potential ofapplying our multi-fisheye technique using a social network, it clearly can be applied in other areas and types of networks, including in probabilisticgraphical models such as Bayesian networks.