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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DIMACS10/cti	DIMACS10/data	DIMACS10/delaunay_n10	DIMACS10/delaunay_n11	DIMACS10/delaunay_n12
DIMACS10/delaunay_n13	DIMACS10/delaunay_n14	DIMACS10/delaunay_n15	DIMACS10/delaunay_n16	DIMACS10/delaunay_n17
DIMACS10/delaunay_n18	DIMACS10/delaunay_n19	DIMACS10/delaunay_n20	DIMACS10/delaunay_n21	DIMACS10/delaunay_n22
DIMACS10/delaunay_n23	DIMACS10/delaunay_n24	DIMACS10/europe_osm	DIMACS10/fe_4elt2	DIMACS10/fe_body