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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Pajek@geom

Pajek/geom
Pajek@GlossGT

Pajek/GlossGT
Pajek@HEP-th

Pajek/HEP-th
Pajek@HEP-th-new

Pajek/HEP-th-new
Pajek@IMDB

Pajek/IMDB
Pajek@internet

Pajek/internet
Pajek@Journals

Pajek/Journals
Pajek@Kohonen

Pajek/Kohonen
Pajek@Lederberg

Pajek/Lederberg
Pajek@ODLIS

Pajek/ODLIS
Pajek@patents

Pajek/patents
Pajek@patents_main

Pajek/patents_main
Pajek@Ragusa16

Pajek/Ragusa16
Pajek@Ragusa18

Pajek/Ragusa18
Pajek@Reuters911

Pajek/Reuters911
Pajek@Roget

Pajek/Roget
Pajek@Sandi_authors

Pajek/Sandi_authors
Pajek@Sandi_sandi

Pajek/Sandi_sandi
Pajek@SciMet

Pajek/SciMet
Pajek@SmaGri

Pajek/SmaGri

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