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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HB/eris1176	HB/fs_183_1	HB/fs_183_3	HB/fs_183_4	HB/fs_183_6
HB/fs_541_1	HB/fs_541_2	HB/fs_541_3	HB/fs_541_4	HB/fs_680_1
HB/fs_680_2	HB/fs_680_3	HB/fs_760_1	HB/fs_760_2	HB/fs_760_3
HB/gemat1	HB/gemat11	HB/gemat12	HB/gent113	HB/gr_30_30