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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Andrianov/ins2	Andrianov/lp1	Andrianov/lpl1	Andrianov/mip1	Andrianov/net100
Andrianov/net125	Andrianov/net150	Andrianov/net25	Andrianov/net4-1	Andrianov/net50
Andrianov/net75	Andrianov/pattern1	Andrianov/pf2177	Arenas/celegans_metabolic	Arenas/email
Arenas/jazz	Arenas/PGPgiantcompo	ATandT/onetone1	ATandT/onetone2	ATandT/pre2