CUBu: Universal Real-Time Bundling for Large Graphs

Visualizing very large graphs by edge bundling is a promising method, yet subject to several challenges: speed, clutter, level-of-detail, and parameter control. We present CUBu, a framework that addresses the above problems in an integrated way. Fully GPU-based, CUBu bundles graphs of up to a millio...

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Vydané v:IEEE transactions on visualization and computer graphics Ročník 22; číslo 12; s. 2550 - 2563
Hlavní autori: van der Zwan, Matthew, Codreanu, Valeriu, Telea, Alexandru
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States IEEE 01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Bundles
Bundling
Clutter
Computer graphics
Computing methodologies: Computer graphics-methodology and techniques
Computing methodologies: computer graphics-picture/image generation
Domains
Graph theory
Graphics processing units
Graphs
Image edge detection
Parameters
Real-time systems
Scalability
Scattering
State of the art
Visualization
ISSN:1077-2626, 1941-0506, 1941-0506
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Popis
Shrnutí:Visualizing very large graphs by edge bundling is a promising method, yet subject to several challenges: speed, clutter, level-of-detail, and parameter control. We present CUBu, a framework that addresses the above problems in an integrated way. Fully GPU-based, CUBu bundles graphs of up to a million edges at interactive framerates, being over 50 times faster than comparable state-of-the-art methods, and has a simple and intuitive control of bundling parameters. CUBu extends and unifies existing bundling techniques, offering ways to control bundle shapes, separate bundles by edge direction, and shade bundles to create a level-of-detail visualization that shows both the graph core structure and its details. We demonstrate CUBu on several large graphs extracted from real-life application domains.
Bibliografia:ObjectType-Article-1
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2016.2515611