A Gallery of Large Graphs

Visualization of matrices from the SuiteSparse 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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ACUSIM/Pres_Poisson	AG-Monien/3elt	AG-Monien/3elt_dual	AG-Monien/airfoil1	AG-Monien/airfoil1_dual
AG-Monien/bfly	AG-Monien/big_dual	AG-Monien/biplane-9	AG-Monien/brack2	AG-Monien/cage
AG-Monien/cca	AG-Monien/ccc	AG-Monien/crack	AG-Monien/crack_dual	AG-Monien/debr
AG-Monien/diag	AG-Monien/grid1	AG-Monien/grid1_dual	AG-Monien/grid2	AG-Monien/grid2_dual