A gallery of large graphs

graph drawing of matrices in 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. The resulting gallery contains the drawing of graphs as represented by 2272 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 graph (Schenk@nlpkkt240) has 27,993,600 vertices and 366,327,376 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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HB/bcsstm04	HB/bcsstm05	HB/bcsstm06	HB/bcsstm07	HB/bcsstm08
HB/bcsstm09	HB/bcsstm10	HB/bcsstm11	HB/bcsstm12	HB/bcsstm13
HB/bcsstm19	HB/bcsstm20	HB/bcsstm21	HB/bcsstm22	HB/bcsstm23
HB/bcsstm24	HB/bcsstm25	HB/bcsstm26	HB/bcsstm27	HB/beacxc