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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Mallya@lhr04

Mallya/lhr04
Mallya@lhr04c

Mallya/lhr04c
Mallya@lhr07

Mallya/lhr07
Mallya@lhr07c

Mallya/lhr07c
Mallya@lhr10

Mallya/lhr10
Mallya@lhr10c

Mallya/lhr10c
Mallya@lhr11

Mallya/lhr11
Mallya@lhr11c

Mallya/lhr11c
Mallya@lhr14

Mallya/lhr14
Mallya@lhr14c

Mallya/lhr14c
Mallya@lhr17

Mallya/lhr17
Mallya@lhr17c

Mallya/lhr17c
Mallya@lhr34

Mallya/lhr34
Mallya@lhr34c

Mallya/lhr34c
Mallya@lhr71

Mallya/lhr71
Mallya@lhr71c

Mallya/lhr71c
Mancktelow@viscorocks

Mancktelow/viscorocks
Marini@eurqsa

Marini/eurqsa
MathWorks@Harvard500

MathWorks/Harvard500
MathWorks@Kaufhold

MathWorks/Kaufhold

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