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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Botonakis@thermomech_TK

Botonakis/thermomech_TK
Bourchtein@atmosmodd

Bourchtein/atmosmodd
Bourchtein@atmosmodj

Bourchtein/atmosmodj
Bourchtein@atmosmodl

Bourchtein/atmosmodl
Bourchtein@atmosmodm

Bourchtein/atmosmodm
Bova@rma10

Bova/rma10
Brethour@coater1

Brethour/coater1
Brethour@coater2

Brethour/coater2
Brunetiere@thermal

Brunetiere/thermal
Buss@12month1

Buss/12month1
Buss@connectus

Buss/connectus
Bydder@mri1

Bydder/mri1
Bydder@mri2

Bydder/mri2
Cannizzo@sts4098

Cannizzo/sts4098
Castrillon@denormal

Castrillon/denormal
CEMW@t2em

CEMW/t2em
CEMW@tmt_sym

CEMW/tmt_sym
CEMW@tmt_unsym

CEMW/tmt_unsym
CEMW@vfem

CEMW/vfem
Chen@pkustk01

Chen/pkustk01

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