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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Mittelmann@cont1_l

Mittelmann/cont1_l
Mittelmann@fome11

Mittelmann/fome11
Mittelmann@fome12

Mittelmann/fome12
Mittelmann@fome13

Mittelmann/fome13
Mittelmann@fome20

Mittelmann/fome20
Mittelmann@fome21

Mittelmann/fome21
Mittelmann@neos

Mittelmann/neos
Mittelmann@neos1

Mittelmann/neos1
Mittelmann@neos2

Mittelmann/neos2
Mittelmann@neos3

Mittelmann/neos3
Mittelmann@nug08-3rd

Mittelmann/nug08-3rd
Mittelmann@pds-100

Mittelmann/pds-100
Mittelmann@pds-30

Mittelmann/pds-30
Mittelmann@pds-40

Mittelmann/pds-40
Mittelmann@pds-50

Mittelmann/pds-50
Mittelmann@pds-60

Mittelmann/pds-60
Mittelmann@pds-70

Mittelmann/pds-70
Mittelmann@pds-80

Mittelmann/pds-80
Mittelmann@pds-90

Mittelmann/pds-90
Mittelmann@rail2586

Mittelmann/rail2586

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