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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Rommes@ww_36_pmec_36

Rommes/ww_36_pmec_36
Rommes@ww_vref_6405

Rommes/ww_vref_6405
Rommes@xingo3012

Rommes/xingo3012
Rommes@xingo_afonso_itaipu

Rommes/xingo_afonso_itaipu
Rommes@zeros_nopss_13k

Rommes/zeros_nopss_13k
Ronis@xenon1

Ronis/xenon1
Ronis@xenon2

Ronis/xenon2
Rost@RFdevice

Rost/RFdevice
Rothberg@3dtube

Rothberg/3dtube
Rothberg@cfd1

Rothberg/cfd1
Rothberg@cfd2

Rothberg/cfd2
Rothberg@gearbox

Rothberg/gearbox
Rothberg@struct3

Rothberg/struct3
Rothberg@struct4

Rothberg/struct4
Rucci@Rucci1

Rucci/Rucci1
Rudnyi@water_tank

Rudnyi/water_tank
Sandia@adder_dcop_01

Sandia/adder_dcop_01
Sandia@adder_dcop_02

Sandia/adder_dcop_02
Sandia@adder_dcop_03

Sandia/adder_dcop_03
Sandia@adder_dcop_04

Sandia/adder_dcop_04

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