A Gallery of Large Graphs

graph visualization of matrices from the University of Florida Collection

Graph visualization is a way to discover and visualize structures in complex relations. What sort of structures are people who do large scale computation studying? We can get a glimpse by visualizing the thousands of sparse matrices submitted to the University of Florida Sparse Matrix collection using sfdp algorithm . The resulting gallery contains the drawing of graphs as represented by 2568 sparse matrices in this collection. Each of these sparse matrices (a rectangular matrix is treated as a bipartite graph) is viewed as the adjacency matrix of an undirected graph, and is laid out by a multilevel graph drawing algorithm. If the graph is disconnected, then the largest connected component is drawn. The largest graphs have tens of millions of nodes and over a billion of edges. A simple coloring scheme is used: longer edges are colored with colder colors, and short ones warmer. The graphs are in alphabetical order. Use the "Search" link to find graphs of specific characters.

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Nasa/barth4	Nasa/barth5	Nasa/nasa1824	Nasa/nasa2146	Nasa/nasa2910
Nasa/nasa4704	Nasa/nasasrb	Nasa/pwt	Nasa/shuttle_eddy	Nasa/skirt
ND/nd12k	ND/nd24k	ND/nd3k	ND/nd6k	Nemeth/nemeth01
Nemeth/nemeth02	Nemeth/nemeth03	Nemeth/nemeth04	Nemeth/nemeth05	Nemeth/nemeth06