Bundled visualization of dynamic graph and trail data

Christophe Hurter 1 Ozan Ersoy 2 Sara Irina Fabrikant 3 Tijmen Klein 2 Alexandru Telea 2
1 LII - ENAC - Laboratoire d'Informatique Interactive
2 University of Groningen [Groningen]
3 UZH - University of Zürich [Zürich]
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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [60 references]  Display  Hide  Download
https://hal-enac.archives-ouvertes.fr/hal-00879736
Contributor : Laurence Porte <>
Submitted on : Monday, November 4, 2013 - 4:53:35 PM
Last modification on : Wednesday, July 24, 2019 - 11:50:44 PM
Long-term archiving on : Friday, April 7, 2017 - 8:45:31 PM

File

Hurter_TVCG2013.pdf
Files produced by the author(s)

Identifiers

Collections

ENAC | LII

Citation

Christophe Hurter, Ozan Ersoy, Sara Irina Fabrikant, Tijmen Klein, Alexandru Telea. Bundled visualization of dynamic graph and trail data. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2013, PP (99), pp xxxx. ⟨10.1109/TVCG.2013.246⟩. ⟨hal-00879736⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

275

Files downloads

782