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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Szczerba/Ill_Stokes	TKK/cbuckle	TKK/cyl6	TKK/engine	TKK/g3rmt3m3
TKK/plbuckle	TKK/s4dkt3m2	TKK/smt	TKK/t2d_q4	TKK/t2d_q9
TKK/t520	TKK/tube1	TKK/tube2	TOKAMAK/utm1700b	TOKAMAK/utm300
TOKAMAK/utm3060	TOKAMAK/utm5940	Toledo/deltaX	Tromble/language	TSOPF/TSOPF_FS_b162_c1