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•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

Gephi

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

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