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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Schenk_AFE@af_shell5

Schenk_AFE/af_shell5
Schenk_AFE@af_shell6

Schenk_AFE/af_shell6
Schenk_AFE@af_shell7

Schenk_AFE/af_shell7
Schenk_AFE@af_shell8

Schenk_AFE/af_shell8
Schenk_AFE@af_shell9

Schenk_AFE/af_shell9
Schenk_IBMNA@c-18

Schenk_IBMNA/c-18
Schenk_IBMNA@c-19

Schenk_IBMNA/c-19
Schenk_IBMNA@c-20

Schenk_IBMNA/c-20
Schenk_IBMNA@c-21

Schenk_IBMNA/c-21
Schenk_IBMNA@c-22

Schenk_IBMNA/c-22
Schenk_IBMNA@c-23

Schenk_IBMNA/c-23
Schenk_IBMNA@c-24

Schenk_IBMNA/c-24
Schenk_IBMNA@c-25

Schenk_IBMNA/c-25
Schenk_IBMNA@c-26

Schenk_IBMNA/c-26
Schenk_IBMNA@c-27

Schenk_IBMNA/c-27
Schenk_IBMNA@c-28

Schenk_IBMNA/c-28
Schenk_IBMNA@c-29

Schenk_IBMNA/c-29
Schenk_IBMNA@c-30

Schenk_IBMNA/c-30
Schenk_IBMNA@c-31

Schenk_IBMNA/c-31
Schenk_IBMNA@c-32

Schenk_IBMNA/c-32

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