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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Meszaros@nemscem

Meszaros/nemscem
Meszaros@nemsemm1

Meszaros/nemsemm1
Meszaros@nemsemm2

Meszaros/nemsemm2
Meszaros@nemspmm1

Meszaros/nemspmm1
Meszaros@nemspmm2

Meszaros/nemspmm2
Meszaros@nemswrld

Meszaros/nemswrld
Meszaros@nl

Meszaros/nl
Meszaros@nsct

Meszaros/nsct
Meszaros@nsic

Meszaros/nsic
Meszaros@nsir

Meszaros/nsir
Meszaros@nw14

Meszaros/nw14
Meszaros@p0033

Meszaros/p0033
Meszaros@p0040

Meszaros/p0040
Meszaros@p010

Meszaros/p010
Meszaros@p0201

Meszaros/p0201
Meszaros@p0282

Meszaros/p0282
Meszaros@p0291

Meszaros/p0291
Meszaros@p05

Meszaros/p05
Meszaros@p0548

Meszaros/p0548
Meszaros@p2756

Meszaros/p2756

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