# 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/pores_3 |
HB/psmigr_1 |
HB/psmigr_2 |
HB/psmigr_3 |
HB/rgg010 |

HB/saylr1 |
HB/saylr3 |
HB/saylr4 |
HB/sherman1 |
HB/sherman2 |

HB/sherman3 |
HB/sherman4 |
HB/sherman5 |
HB/shl_0 |
HB/shl_200 |

HB/shl_400 |
HB/sstmodel |
HB/steam1 |
HB/steam2 |
HB/steam3 |

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