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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Pothen@bodyy5

Pothen/bodyy5
Pothen@bodyy6

Pothen/bodyy6
Pothen@commanche_dual

Pothen/commanche_dual
Pothen@mesh1e1

Pothen/mesh1e1
Pothen@mesh1em1

Pothen/mesh1em1
Pothen@mesh1em6

Pothen/mesh1em6
Pothen@mesh2e1

Pothen/mesh2e1
Pothen@mesh2em5

Pothen/mesh2em5
Pothen@mesh3e1

Pothen/mesh3e1
Pothen@mesh3em5

Pothen/mesh3em5
Pothen@onera_dual

Pothen/onera_dual
Pothen@pwt

Pothen/pwt
Pothen@shuttle_eddy

Pothen/shuttle_eddy
Pothen@skirt

Pothen/skirt
Pothen@sphere2

Pothen/sphere2
Pothen@sphere3

Pothen/sphere3
Pothen@tandem_dual

Pothen/tandem_dual
Pothen@tandem_vtx

Pothen/tandem_vtx
Priebel@130bit

Priebel/130bit
Priebel@145bit

Priebel/145bit

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