Bundled Visualization of DynamicGraph and Trail Data

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

Research output: Contribution to journalArticleAcademicpeer-review

48 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1141-1157
Number of pages17
JournalIEEE Transactions on Visualization and Computer Graphics
Volume20
Issue number8
DOIs
Publication statusPublished - 2014

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