Graph Bundling by Kernel Density Estimation
We present a fast and simple method to compute bundled layouts of general graphs. For this, we first transform a given graph drawing into a density map using kernel density estimation. Next, we apply an image sharpening technique which progressively merges local height maxima by moving the convolved...
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Veröffentlicht in: | Computer graphics forum 2012-06, Vol.31 (3pt1), p.865-874 |
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description | We present a fast and simple method to compute bundled layouts of general graphs. For this, we first transform a given graph drawing into a density map using kernel density estimation. Next, we apply an image sharpening technique which progressively merges local height maxima by moving the convolved graph edges into the height gradient flow. Our technique can be easily and efficiently implemented using standard graphics acceleration techniques and produces graph bundlings of similar appearance and quality to state‐of‐the‐art methods at a fraction of the cost. Additionally, we show how to create bundled layouts constrained by obstacles and use shading to convey information on the bundling quality. We demonstrate our method on several large graphs. |
doi_str_mv | 10.1111/j.1467-8659.2012.03079.x |
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subjects | Analysis Computer graphics Computer Science edge bundles Graph layouts Graph theory Human-Computer Interaction I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation image-based information visualization Studies |
title | Graph Bundling by Kernel Density Estimation |
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