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/bcsstk02	HB/bcsstk03	HB/bcsstk04	HB/bcsstk05	HB/bcsstk06
HB/bcsstk07	HB/bcsstk08	HB/bcsstk09	HB/bcsstk10	HB/bcsstk11
HB/bcsstk12	HB/bcsstk13	HB/bcsstk14	HB/bcsstk15	HB/bcsstk16
HB/bcsstk17	HB/bcsstk18	HB/bcsstk19	HB/bcsstk20	HB/bcsstk21