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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JGD_G5/IG5-12	JGD_G5/IG5-13	JGD_G5/IG5-14	JGD_G5/IG5-15	JGD_G5/IG5-16
JGD_G5/IG5-17	JGD_G5/IG5-18	JGD_G5/IG5-6	JGD_G5/IG5-7	JGD_G5/IG5-8
JGD_G5/IG5-9	JGD_GL6/GL6_D_10	JGD_GL6/GL6_D_6	JGD_GL6/GL6_D_7	JGD_GL6/GL6_D_8
JGD_GL6/GL6_D_9	JGD_GL7d/GL7d10	JGD_GL7d/GL7d11	JGD_GL7d/GL7d12	JGD_GL7d/GL7d13