Bundled Visualization of DynamicGraph and Trail Data

Christophe Hurter, Ozan Ersoy, Sara Irina Fabrikant, Tijmen R. Klein, Alexandro C. Telea

OnderzoeksoutputAcademicpeer review

49 Citaten (Scopus)


Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two techniques for simplified visualization of such data sets 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 data sets from aircraft monitoring, software engineering, and eye-tracking of static and dynamic scenes.
Originele taal-2English
Pagina's (van-tot)1141-1157
Aantal pagina's17
TijdschriftIEEE Transactions on Visualization and Computer Graphics
Nummer van het tijdschrift8
StatusPublished - 2014

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