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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Gset/G66	Gset/G67	Gset/G7	Gset/G8	Gset/G9
Gupta/gupta1	Gupta/gupta2	Gupta/gupta3	Hamm/add20	Hamm/add32
Hamm/bcircuit	Hamm/hcircuit	Hamm/memplus	Hamm/scircuit	Hamrle/Hamrle1
Hamrle/Hamrle2	Hamrle/Hamrle3	HB/1138_bus	HB/494_bus	HB/662_bus