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_Homology/n4c6-b4	JGD_Homology/n4c6-b5	JGD_Homology/n4c6-b6	JGD_Homology/n4c6-b7	JGD_Homology/n4c6-b8
JGD_Homology/n4c6-b9	JGD_Homology/shar_te2-b1	JGD_Homology/shar_te2-b2	JGD_Homology/shar_te2-b3	JGD_Kocay/Trec10
JGD_Kocay/Trec11	JGD_Kocay/Trec12	JGD_Kocay/Trec13	JGD_Kocay/Trec14	JGD_Kocay/Trec3
JGD_Kocay/Trec4	JGD_Kocay/Trec5	JGD_Kocay/Trec6	JGD_Kocay/Trec7	JGD_Kocay/Trec8