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Image‐Based Edge Bundles: Simplified Visualization of Large Graphs
Authors:A. Telea  O. Ersoy
Affiliation:Institute Johann Bernoulli, University of Groningen, the Netherlands
Abstract:We present a new approach aimed at understanding the structure of connections in edge‐bundling layouts. We combine the advantages of edge bundles with a bundle‐centric simplified visual representation of a graph's structure. For this, we first compute a hierarchical edge clustering of a given graph layout which groups similar edges together. Next, we render clusters at a user‐selected level of detail using a new image‐based technique that combines distance‐based splatting and shape skeletonization. The overall result displays a given graph as a small set of overlapping shaded edge bundles. Luminance, saturation, hue, and shading encode edge density, edge types, and edge similarity. Finally, we add brushing and a new type of semantic lens to help navigation where local structures overlap. We illustrate the proposed method on several real‐world graph datasets.
Keywords:I.3.3 [Computer Graphics]: Picture/Image Generation—  Line and curve generation  I.3.5 [Computer Graphics]: Picture/Image Generation—  Computational Geometry and Object Modeling
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