# 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/will57 |
HB/wm1 |
HB/wm2 |
HB/wm3 |
HB/young1c |

HB/young2c |
HB/young3c |
HB/young4c |
HB/zenios |
Hohn/fd12 |

Hohn/fd15 |
Hohn/fd18 |
Hohn/sinc12 |
Hohn/sinc15 |
Hohn/sinc18 |

Hollinger/g7jac010 |
Hollinger/g7jac010sc |
Hollinger/g7jac020 |
Hollinger/g7jac020sc |
Hollinger/g7jac040 |

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