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/p6000	Meszaros/pcb1000	Meszaros/pcb3000	Meszaros/pf2177	Meszaros/pgp2
Meszaros/plddb	Meszaros/pltexpa	Meszaros/primagaz	Meszaros/problem	Meszaros/progas
Meszaros/qiulp	Meszaros/r05	Meszaros/rat	Meszaros/refine	Meszaros/rlfddd
Meszaros/rlfdual	Meszaros/rlfprim	Meszaros/rosen1	Meszaros/rosen10	Meszaros/rosen2