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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Hollinger@mark3jac120

Hollinger/mark3jac120
Hollinger@mark3jac120sc

Hollinger/mark3jac120sc
Hollinger@mark3jac140

Hollinger/mark3jac140
Hollinger@mark3jac140sc

Hollinger/mark3jac140sc
HVDC@hvdc1

HVDC/hvdc1
HVDC@hvdc2

HVDC/hvdc2
IBM_Austin@coupled

IBM_Austin/coupled
IBM_EDA@ckt11752_dc_1

IBM_EDA/ckt11752_dc_1
IBM_EDA@ckt11752_tr_0

IBM_EDA/ckt11752_tr_0
IBM_EDA@dc1

IBM_EDA/dc1
IBM_EDA@dc2

IBM_EDA/dc2
IBM_EDA@dc3

IBM_EDA/dc3
IBM_EDA@trans4

IBM_EDA/trans4
IBM_EDA@trans5

IBM_EDA/trans5
INPRO@msdoor

INPRO/msdoor
IPSO@HTC_336_4438

IPSO/HTC_336_4438
IPSO@HTC_336_9129

IPSO/HTC_336_9129
IPSO@OPF_10000

IPSO/OPF_10000
IPSO@OPF_3754

IPSO/OPF_3754
IPSO@OPF_6000

IPSO/OPF_6000

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