# 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/685_bus |
HB/abb313 |
HB/arc130 |
HB/ash219 |
HB/ash292 |

HB/ash331 |
HB/ash608 |
HB/ash85 |
HB/ash958 |
HB/bcspwr01 |

HB/bcspwr02 |
HB/bcspwr03 |
HB/bcspwr04 |
HB/bcspwr05 |
HB/bcspwr06 |

HB/bcspwr07 |
HB/bcspwr08 |
HB/bcspwr09 |
HB/bcspwr10 |
HB/bcsstk01 |

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