Journal articles
Bundled visualization of dynamic graph and trail data
Abstract : 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.
Cited literature [60 references]
https://hal-enac.archives-ouvertes.fr/hal-00879736
Contributor : Laurence Porte <>
Submitted on : Monday, November 4, 2013 - 4:53:35 PM
Last modification on : Thursday, May 28, 2020 - 3:46:02 PM
Document(s) archivé(s) le : Friday, April 7, 2017 - 8:45:31 PM
Contributor : Laurence Porte <>
Submitted on : Monday, November 4, 2013 - 4:53:35 PM
Last modification on : Thursday, May 28, 2020 - 3:46:02 PM
Document(s) archivé(s) le : Friday, April 7, 2017 - 8:45:31 PM
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Hurter_TVCG2013.pdf
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