# 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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Hollinger/mark3jac120 |
Hollinger/mark3jac120sc |
Hollinger/mark3jac140 |
Hollinger/mark3jac140sc |
HVDC/hvdc1 |

HVDC/hvdc2 |
IBM_Austin/coupled |
IBM_EDA/ckt11752_dc_1 |
IBM_EDA/ckt11752_tr_0 |
IBM_EDA/dc1 |

IBM_EDA/dc2 |
IBM_EDA/dc3 |
IBM_EDA/trans4 |
IBM_EDA/trans5 |
INPRO/msdoor |

IPSO/HTC_336_4438 |
IPSO/HTC_336_9129 |
IPSO/OPF_10000 |
IPSO/OPF_3754 |
IPSO/OPF_6000 |

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