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Network Visualization Software

Network Visualization Software. a few examples Sarah Koo stats 319 - 2.8.11. “Facebook5” Dataset. Caltech (769 Nodes, 16656 Edges) Princeton (6596 Nodes, 293,320 Edges) UNC Chapel Hill (18163 Nodes, 766,800 Edges) Oklahoma Georgetown. Tulip. Can handle up to 1 million nodes

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Network Visualization Software

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  1. Network Visualization Software a few examples Sarah Koo stats 319 - 2.8.11

  2. “Facebook5” Dataset Caltech (769 Nodes, 16656 Edges) Princeton (6596 Nodes, 293,320 Edges) UNC Chapel Hill (18163 Nodes, 766,800 Edges) Oklahoma Georgetown

  3. Tulip • Can handle up to 1 million nodes • 3D visualizations • Automated and manual clustering • Automated coloring • Highly customizable graphs • Extremely detailed even with many data points • Built-in ways to clean up cluttered graphs

  4. Gephi • Poster creation capability • 3D rendering • Up to 50K nodes, 500K edges • Real-time visualization • Dynamic network analysis: visualizations over time • Tons of plugins

  5. Visone • By far the simplest interface • Built-in R console • Basic network visualization, no fancy features • High-quality export to jpg, pdf, etc. • Specifically designed for social networks

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