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/nnc1374	HB/nnc261	HB/nnc666	HB/nos1	HB/nos2
HB/nos3	HB/nos4	HB/nos5	HB/nos6	HB/nos7
HB/orani678	HB/orsirr_1	HB/orsirr_2	HB/orsreg_1	HB/plat1919
HB/plat362	HB/plsk1919	HB/plskz362	HB/pores_1	HB/pores_2