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|a 10.1109/TVCG.2016.2515611
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|a eng
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1 |
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|a van der Zwan, Matthew
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a CUBu
|b Universal Real-Time Bundling for Large Graphs
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| 264 |
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|c 2016
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|a Text
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|a ƒaComputermedien
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|a Date Completed 23.06.2017
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|a Date Revised 23.06.2017
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a 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
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|a Journal Article
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|a Codreanu, Valeriu
|e verfasserin
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|a Telea, Alexandru
|e verfasserin
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
|d 1996
|g 22(2016), 12 vom: 10. Dez., Seite 2550-2563
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