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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HB/can_634	HB/can_715	HB/can_73	HB/can_838	HB/can_96
HB/cegb2802	HB/cegb2919	HB/cegb3024	HB/cegb3306	HB/curtis54
HB/dwt_1005	HB/dwt_1007	HB/dwt_1242	HB/dwt_162	HB/dwt_193
HB/dwt_198	HB/dwt_209	HB/dwt_221	HB/dwt_234	HB/dwt_245