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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Hollinger/mark3jac120	Hollinger/mark3jac120sc	Hollinger/mark3jac140	Hollinger/mark3jac140sc	HVDC/hvdc1
HVDC/hvdc2	IBM_Austin/coupled	IBM_EDA/ckt11752_dc_1	IBM_EDA/ckt11752_tr_0	IBM_EDA/dc1
IBM_EDA/dc2	IBM_EDA/dc3	IBM_EDA/trans4	IBM_EDA/trans5	INPRO/msdoor
IPSO/HTC_336_4438	IPSO/HTC_336_9129	IPSO/OPF_10000	IPSO/OPF_3754	IPSO/OPF_6000