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@bcsstm09

HB/bcsstm09
HB@bcsstm10

HB/bcsstm10
HB@bcsstm11

HB/bcsstm11
HB@bcsstm12

HB/bcsstm12
HB@bcsstm13

HB/bcsstm13
HB@bcsstm19

HB/bcsstm19
HB@bcsstm20

HB/bcsstm20
HB@bcsstm21

HB/bcsstm21
HB@bcsstm22

HB/bcsstm22
HB@bcsstm23

HB/bcsstm23
HB@bcsstm24

HB/bcsstm24
HB@bcsstm25

HB/bcsstm25
HB@bcsstm26

HB/bcsstm26
HB@bcsstm27

HB/bcsstm27
HB@beacxc

HB/beacxc
HB@beaflw

HB/beaflw
HB@beause

HB/beause
HB@blckhole

HB/blckhole
HB@bp_0

HB/bp_0
HB@bp_1000

HB/bp_1000

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