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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Pajek/SmallW	Pajek/Stranke94	Pajek/Tina_AskCal	Pajek/Tina_AskCog	Pajek/Tina_DisCal
Pajek/Tina_DisCog	Pajek/USAir97	Pajek/USpowerGrid	Pajek/Wordnet3	Pajek/WorldCities
Pajek/yeast	Pajek/Zewail	PARSEC/benzene	PARSEC/CO	PARSEC/Ga10As10H30
PARSEC/Ga19As19H42	PARSEC/Ga3As3H12	PARSEC/Ga41As41H72	PARSEC/GaAsH6	PARSEC/Ge87H76