IEEE Trans Vis Comput Graph - Bundled Visualization of Dynamic Graph and Trail Data.

Tópicos

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Resumo

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.

Resumo Limpo

depict chang captur dynam graph tempor path trail hard present two techniqu simplifi visual dataset use edg bundl first techniqu use effici imagebas bundl method creat smooth chang bundl stream graph second techniqu add edgecorrespond data atop static bundl algorithm best suit graph sequenc show techniqu can produc simplifi visual stream sequenc graph next show sever tempor attribut can ad atop dynam graph illustr techniqu dataset aircraft monitor softwar engin eyetrack static dynam scene

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