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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Rajat/rajat23	Rajat/rajat24	Rajat/rajat25	Rajat/rajat26	Rajat/rajat27
Rajat/rajat28	Rajat/rajat29	Rajat/rajat30	Rajat/rajat31	Raju/laminar_duct3D
Rommes/bauru5727	Rommes/bips07_1693	Rommes/bips07_1998	Rommes/bips07_2476	Rommes/bips07_3078
Rommes/bips98_1142	Rommes/bips98_1450	Rommes/bips98_606	Rommes/descriptor_xingo6u	Rommes/juba40k