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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Schenk_IBMNA/c-53	Schenk_IBMNA/c-54	Schenk_IBMNA/c-56	Schenk_IBMNA/c-57	Schenk_IBMNA/c-60
Schenk_IBMNA/c-61	Schenk_IBMNA/c-62	Schenk_IBMNA/c-64	Schenk_IBMNA/c-64b	Schenk_IBMNA/c-65
Schenk_IBMNA/c-66	Schenk_IBMNA/c-66b	Schenk_IBMNA/c-67	Schenk_IBMNA/c-67b	Schenk_IBMNA/c-73
Schenk_IBMNA/c-73b	Schenk_IBMNA/c-big	Schenk_IBMSDS/2D_27628_bjtcai	Schenk_IBMSDS/2D_54019_highK	Schenk_IBMSDS/3D_28984_Tetra