# 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/venturiLevel3 |
DIMACS10/wing |
DIMACS10/wing_nodal |
DNVS/crplat2 |
DNVS/fcondp2 |

DNVS/fullb |
DNVS/halfb |
DNVS/m_t1 |
DNVS/ship_001 |
DNVS/ship_003 |

DNVS/shipsec1 |
DNVS/shipsec5 |
DNVS/shipsec8 |
DNVS/thread |
DNVS/trdheim |

DNVS/troll |
DNVS/tsyl201 |
DNVS/x104 |
DRIVCAV/cavity01 |
DRIVCAV/cavity02 |

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