# 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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JGD_Homology/n4c6-b4 |
JGD_Homology/n4c6-b5 |
JGD_Homology/n4c6-b6 |
JGD_Homology/n4c6-b7 |
JGD_Homology/n4c6-b8 |

JGD_Homology/n4c6-b9 |
JGD_Homology/shar_te2-b1 |
JGD_Homology/shar_te2-b2 |
JGD_Homology/shar_te2-b3 |
JGD_Kocay/Trec10 |

JGD_Kocay/Trec11 |
JGD_Kocay/Trec12 |
JGD_Kocay/Trec13 |
JGD_Kocay/Trec14 |
JGD_Kocay/Trec3 |

JGD_Kocay/Trec4 |
JGD_Kocay/Trec5 |
JGD_Kocay/Trec6 |
JGD_Kocay/Trec7 |
JGD_Kocay/Trec8 |

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