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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HB@nnc1374

HB/nnc1374
HB@nnc261

HB/nnc261
HB@nnc666

HB/nnc666
HB@nos1

HB/nos1
HB@nos2

HB/nos2
HB@nos3

HB/nos3
HB@nos4

HB/nos4
HB@nos5

HB/nos5
HB@nos6

HB/nos6
HB@nos7

HB/nos7
HB@orani678

HB/orani678
HB@orsirr_1

HB/orsirr_1
HB@orsirr_2

HB/orsirr_2
HB@orsreg_1

HB/orsreg_1
HB@plat1919

HB/plat1919
HB@plat362

HB/plat362
HB@plsk1919

HB/plsk1919
HB@plskz362

HB/plskz362
HB@pores_1

HB/pores_1
HB@pores_2

HB/pores_2

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