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Bundled Visualization of Dynamic Graph and Trail Data
PrePrint
ISSN: 1077-2626
Christophe Hurter, ENAC/University of Toulouse, Toulouse
Ozan Ersoy, University of Groningen, Groningen
Sara I. Fabrikant, University of Zürich, Zürich
Tijmen R. Klein, University of Groningen, Groningen
Alexandru C. Telea, University of Groningen, Groningen
Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two techniques for simplified visualization of such datasets using edge bundles. The first technique uses an efficient image-based bundling method to create smoothly changing bundles from streaming graphs. The second technique adds edge-correspondence data atop of any static bundling algorithm, and is best suited for graph sequences. We show how these techniques can produce simplified visualizations of streaming and sequence graphs. Next, we show how several temporal attributes can be added atop of our dynamic graphs. We illustrate our techniques with datasets from aircraft monitoring, software engineering, and eye-tracking of static and dynamic scenes.
Index Terms:
Cloning,Visualization,Image edge detection,Animation,Image color analysis,Streaming media,Layout,Image-based rendering,Line and curve generation
Citation:
Christophe Hurter, Ozan Ersoy, Sara I. Fabrikant, Tijmen R. Klein, Alexandru C. Telea, "Bundled Visualization of Dynamic Graph and Trail Data," IEEE Transactions on Visualization and Computer Graphics, 21 Nov. 2013. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.246>
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