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@rail4284

Mittelmann/rail4284
Mittelmann@rail507

Mittelmann/rail507
Mittelmann@rail516

Mittelmann/rail516
Mittelmann@rail582

Mittelmann/rail582
Mittelmann@sgpf5y6

Mittelmann/sgpf5y6
Mittelmann@spal_004

Mittelmann/spal_004
Mittelmann@stormG2_1000

Mittelmann/stormG2_1000
Mittelmann@watson_1

Mittelmann/watson_1
Mittelmann@watson_2

Mittelmann/watson_2
MKS@fp

MKS/fp
Morandini@robot

Morandini/robot
Morandini@rotor1

Morandini/rotor1
Morandini@rotor2

Morandini/rotor2
Muite@Chebyshev1

Muite/Chebyshev1
Muite@Chebyshev2

Muite/Chebyshev2
Muite@Chebyshev3

Muite/Chebyshev3
Muite@Chebyshev4

Muite/Chebyshev4
Mulvey@finan512

Mulvey/finan512
Mulvey@pfinan512

Mulvey/pfinan512
Nasa@barth

Nasa/barth

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