Smooth Bundling of Large Streaming and Sequence Graphs

(Realtime Edge Bundling)

Hurter, C.; Ersoy, O.; Fabrikant, S.; Klein, T.; Telea, A., pre-print video
Bundled Visualization of Dynamic Graph and Trail Data.
(TVCG) Visualization and Computer Graphics, IEEE Transactions on , vol.PP, no.99, pp.1,1
doi= 10.1109/TVCG.2013.246

Christophe Hurter, Ozan Ersoy, Alexandru Telea pdf video
Smooth Bundling of Large Streaming and Sequence Graphs.

(PacificVis 2013) Visualization Symposium (PacificVis), 2013 IEEE Pacific , vol., no., pp.41,48, Feb. 27 2013-March 1 2013. honorable mention PacificVis 2013
doi: 10.1109/PacificVis.2013.6596126

Exe and source code available (CPU version, thanks to Oussama Sabra) Exe
CPU, C# code (Visual Studio)

Dynamic graphs are increasingly pervasive in modern information systems. However, understanding how a graph changes in time is difficult. We present here two techniques for simplified visualization of dynamic graphs using edge bundles. The first technique uses a recent image-based graph bundling method to create smooth changing
bundles from of streaming graphs. The second technique incorporates additional edge-correspondence data and is thereby suited to visualize discrete graph sequences. We illustrate our methods with examples from real-world large dynamic graph datasets.


Aircraft trajectory evolution over time:


Eye tracker data with and without bundling:

Eye tracker