# 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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LAW/hollywood-2009 |
LAW/in-2004 |
LAW/indochina-2004 |
LAW/it-2004 |
LAW/ljournal-2008 |

LAW/sk-2005 |
LAW/uk-2002 |
LAW/uk-2005 |
LAW/webbase-2001 |
Lee/fem_filter |

Lee/fem_hifreq_circuit |
Li/li |
Lin/Lin |
Li/pli |
LiuWenzhuo/powersim |

Lourakis/bundle1 |
LPnetlib/lp_25fv47 |
LPnetlib/lp_80bau3b |
LPnetlib/lp_adlittle |
LPnetlib/lp_afiro |

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