# 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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Andrianov/ins2 |
Andrianov/lp1 |
Andrianov/lpl1 |
Andrianov/mip1 |
Andrianov/net100 |

Andrianov/net125 |
Andrianov/net150 |
Andrianov/net25 |
Andrianov/net4-1 |
Andrianov/net50 |

Andrianov/net75 |
Andrianov/pattern1 |
Andrianov/pf2177 |
Arenas/celegans_metabolic |
Arenas/email |

Arenas/jazz |
Arenas/PGPgiantcompo |
ATandT/onetone1 |
ATandT/onetone2 |
ATandT/pre2 |

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