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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Pajek/divorce	Pajek/EAT_RS	Pajek/EAT_SR	Pajek/EPA	Pajek/Erdos02
Pajek/Erdos971	Pajek/Erdos972	Pajek/Erdos981	Pajek/Erdos982	Pajek/Erdos991
Pajek/Erdos992	Pajek/EVA	Pajek/FA	Pajek/foldoc	Pajek/football
Pajek/GD00_a	Pajek/GD00_c	Pajek/GD01_a	Pajek/GD01_A	Pajek/GD01_b