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/nemsemm1	Meszaros/nemsemm2	Meszaros/nemspmm1	Meszaros/nemspmm2
Meszaros/nemswrld	Meszaros/nl	Meszaros/nsct	Meszaros/nsic	Meszaros/nsir
Meszaros/nw14	Meszaros/p0033	Meszaros/p0040	Meszaros/p010	Meszaros/p0201
Meszaros/p0282	Meszaros/p0291	Meszaros/p05	Meszaros/p0548	Meszaros/p2756