A gallery of large graphs

graph drawing of matrices in 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 2547 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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Chen/pkustk02	Chen/pkustk03	Chen/pkustk04	Chen/pkustk05	Chen/pkustk06
Chen/pkustk07	Chen/pkustk08	Chen/pkustk09	Chen/pkustk10	Chen/pkustk11
Chen/pkustk12	Chen/pkustk13	Chen/pkustk14	Clark/tomographic1	Cote/mplate
Cote/vibrobox	Cunningham/k3plates	Cunningham/m3plates	Cunningham/qa8fk	Cunningham/qa8fm