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_SL6/D_11	JGD_SL6/D_5	JGD_SL6/D_6	JGD_SL6/D_7	JGD_SL6/D_8
JGD_SL6/D_9	JGD_SPG/08blocks	JGD_SPG/EX1	JGD_SPG/EX2	JGD_SPG/EX3
JGD_SPG/EX4	JGD_SPG/EX5	JGD_SPG/EX6	JGD_Taha/abtaha1	JGD_Taha/abtaha2
JGD_Trefethen/Trefethen_150	JGD_Trefethen/Trefethen_20	JGD_Trefethen/Trefethen_200	JGD_Trefethen/Trefethen_2000	JGD_Trefethen/Trefethen_20000