A gallery of large graphs

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 1890 sparse matrices in this collection. Each of these sparse matrices (for rectangular matrix, an augmented matrix is formed first) 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 has 8863287 vertices and 44185251 edges. A simple coloring scheme is used: if the matrix has real entries, coloring is based on the entry value, otherwise it is based on the edge length.

Pajek/Erdos971	Pajek/Erdos972	Pajek/Erdos981	Pajek/Erdos982	Pajek/Erdos991
Pajek/Erdos992	Pajek/EVA	Pajek/FA	Pajek/foldoc	Pajek/football
Pajek/GD00_a	Pajek/GD00_c	Pajek/GD01_a	Pajek/GD01_A	Pajek/GD01_b
Pajek/GD01_c	Pajek/GD02_a	Pajek/GD02_b	Pajek/GD06_Java	Pajek/GD06_theory