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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FIDAP/ex3	FIDAP/ex31	FIDAP/ex32	FIDAP/ex33	FIDAP/ex35
FIDAP/ex36	FIDAP/ex37	FIDAP/ex4	FIDAP/ex40	FIDAP/ex5
FIDAP/ex6	FIDAP/ex7	FIDAP/ex8	FIDAP/ex9	Fluorem/DK01R
Fluorem/GT01R	Fluorem/HV15R	Fluorem/PR02R	Fluorem/RM07R	FreeFieldTechnologies/mono_500Hz