# 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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Bai/tols90 |
Bai/tub100 |
Bai/tub1000 |
Barabasi/NotreDame_actors |
Barabasi/NotreDame_www |

Barabasi/NotreDame_yeast |
Bates/Chem97Zt |
Bates/Chem97ZtZ |
Bates/sls |
Belcastro/human_gene1 |

Belcastro/human_gene2 |
Belcastro/mouse_gene |
BenElechi/BenElechi1 |
Bindel/ted_A |
Bindel/ted_AB |

Bindel/ted_AB_unscaled |
Bindel/ted_A_unscaled |
Bindel/ted_B |
Bindel/ted_B_unscaled |
Boeing/bcsstk34 |

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