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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Bai/mhd4800a	Bai/mhd4800b	Bai/mhda416	Bai/mhdb416	Bai/odepa400
Bai/odepb400	Bai/olm100	Bai/olm1000	Bai/olm2000	Bai/olm500
Bai/olm5000	Bai/pde225	Bai/pde2961	Bai/pde900	Bai/qc2534
Bai/qc324	Bai/qh1484	Bai/qh768	Bai/qh882	Bai/rbsa480