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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IPSO@TSC_OPF_1047

IPSO/TSC_OPF_1047
IPSO@TSC_OPF_300

IPSO/TSC_OPF_300
Janna@Cube_Coup_dt0

Janna/Cube_Coup_dt0
Janna@Cube_Coup_dt6

Janna/Cube_Coup_dt6
Janna@Emilia_923

Janna/Emilia_923
Janna@Fault_639

Janna/Fault_639
Janna@Flan_1565

Janna/Flan_1565
Janna@Geo_1438

Janna/Geo_1438
Janna@Hook_1498

Janna/Hook_1498
Janna@Long_Coup_dt0

Janna/Long_Coup_dt0
Janna@Long_Coup_dt6

Janna/Long_Coup_dt6
Janna@Serena

Janna/Serena
Janna@StocF-1465

Janna/StocF-1465
JGD_BIBD@bibd_11_5

JGD_BIBD/bibd_11_5
JGD_BIBD@bibd_12_4

JGD_BIBD/bibd_12_4
JGD_BIBD@bibd_12_5

JGD_BIBD/bibd_12_5
JGD_BIBD@bibd_13_6

JGD_BIBD/bibd_13_6
JGD_BIBD@bibd_14_7

JGD_BIBD/bibd_14_7
JGD_BIBD@bibd_15_3

JGD_BIBD/bibd_15_3
JGD_BIBD@bibd_15_7

JGD_BIBD/bibd_15_7

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