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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Pothen/bodyy5	Pothen/bodyy6	Pothen/commanche_dual	Pothen/mesh1e1	Pothen/mesh1em1
Pothen/mesh1em6	Pothen/mesh2e1	Pothen/mesh2em5	Pothen/mesh3e1	Pothen/mesh3em5
Pothen/onera_dual	Pothen/pwt	Pothen/shuttle_eddy	Pothen/skirt	Pothen/sphere2
Pothen/sphere3	Pothen/tandem_dual	Pothen/tandem_vtx	Priebel/130bit	Priebel/145bit