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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JGD_Forest/TF13	JGD_Forest/TF14	JGD_Forest/TF15	JGD_Forest/TF16	JGD_Forest/TF17
JGD_Forest/TF18	JGD_Forest/TF19	JGD_Franz/Franz1	JGD_Franz/Franz10	JGD_Franz/Franz11
JGD_Franz/Franz2	JGD_Franz/Franz3	JGD_Franz/Franz4	JGD_Franz/Franz5	JGD_Franz/Franz6
JGD_Franz/Franz7	JGD_Franz/Franz8	JGD_Franz/Franz9	JGD_G5/IG5-10	JGD_G5/IG5-11