Issue No. 08 - Aug. (2014 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.246
Christophe Hurter , ENAC/LII, University of Toulouse, 7 Avenue E. Belin, France
Ozan Ersoy , University of Groningen, The Netherlands
Sara Irina Fabrikant , Department of Geography, University of Zürich, winterthurerstr. 190, Zurich 8057, Switzerland
Tijmen R. Klein , University of Groningen, The Netherlands
Alexandru C. Telea , Department of Mathematics and Computing Science, University of Groningen, Nijenborgh 9, Groningen 9747 AG, The Netherlands
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.
Cloning, Visualization, Image edge detection, Animation, Image color analysis, Streaming media, Layout
C. Hurter, O. Ersoy, S. I. Fabrikant, T. R. Klein and A. C. Telea, "Bundled Visualization of DynamicGraph and Trail Data," in IEEE Transactions on Visualization & Computer Graphics, vol. 20, no. 8, pp. 1141-1157, 2014.