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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AG-Monien/L	AG-Monien/L-9	AG-Monien/netz4504	AG-Monien/netz4504_dual	AG-Monien/se
AG-Monien/shock-9	AG-Monien/stufe	AG-Monien/stufe-10	AG-Monien/ukerbe1	AG-Monien/ukerbe1_dual
AG-Monien/wave	AG-Monien/whitaker3	AG-Monien/whitaker3_dual	Alemdar/Alemdar	AMD/G2_circuit
AMD/G3_circuit	Andrews/Andrews	Andrianov/ex3sta1	Andrianov/fxm3_6	Andrianov/fxm4_6