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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PARSEC/Ge99H100	PARSEC/H2O	PARSEC/Na5	PARSEC/Si10H16	PARSEC/Si2
PARSEC/Si34H36	PARSEC/Si41Ge41H72	PARSEC/Si5H12	PARSEC/Si87H76	PARSEC/SiH4
PARSEC/SiNa	PARSEC/SiO	PARSEC/SiO2	Pereyra/landmark	POLYFLOW/invextr1_new
POLYFLOW/mixtank_new	Pothen/barth	Pothen/barth4	Pothen/barth5	Pothen/bodyy4