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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DIMACS10/kron_g500-logn20	DIMACS10/kron_g500-logn21	DIMACS10/luxembourg_osm	DIMACS10/m14b	DIMACS10/netherlands_osm
DIMACS10/packing-500x100x100-b050	DIMACS10/rgg_n_2_15_s0	DIMACS10/rgg_n_2_16_s0	DIMACS10/rgg_n_2_17_s0	DIMACS10/rgg_n_2_18_s0
DIMACS10/rgg_n_2_19_s0	DIMACS10/rgg_n_2_20_s0	DIMACS10/rgg_n_2_21_s0	DIMACS10/rgg_n_2_22_s0	DIMACS10/rgg_n_2_23_s0
DIMACS10/rgg_n_2_24_s0	DIMACS10/road_central	DIMACS10/road_usa	DIMACS10/t60k	DIMACS10/uk