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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HB@str_0

HB/str_0
HB@str_200

HB/str_200
HB@str_400

HB/str_400
HB@str_600

HB/str_600
HB@watt_1

HB/watt_1
HB@watt_2

HB/watt_2
HB@well1033

HB/well1033
HB@well1850

HB/well1850
HB@west0067

HB/west0067
HB@west0132

HB/west0132
HB@west0156

HB/west0156
HB@west0167

HB/west0167
HB@west0381

HB/west0381
HB@west0479

HB/west0479
HB@west0497

HB/west0497
HB@west0655

HB/west0655
HB@west0989

HB/west0989
HB@west1505

HB/west1505
HB@west2021

HB/west2021
HB@will199

HB/will199

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