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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DIMACS10@cti

DIMACS10/cti
DIMACS10@data

DIMACS10/data
DIMACS10@delaunay_n10

DIMACS10/delaunay_n10
DIMACS10@delaunay_n11

DIMACS10/delaunay_n11
DIMACS10@delaunay_n12

DIMACS10/delaunay_n12
DIMACS10@delaunay_n13

DIMACS10/delaunay_n13
DIMACS10@delaunay_n14

DIMACS10/delaunay_n14
DIMACS10@delaunay_n15

DIMACS10/delaunay_n15
DIMACS10@delaunay_n16

DIMACS10/delaunay_n16
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DIMACS10/delaunay_n17
DIMACS10@delaunay_n18

DIMACS10/delaunay_n18
DIMACS10@delaunay_n19

DIMACS10/delaunay_n19
DIMACS10@delaunay_n20

DIMACS10/delaunay_n20
DIMACS10@delaunay_n21

DIMACS10/delaunay_n21
DIMACS10@delaunay_n22

DIMACS10/delaunay_n22
DIMACS10@delaunay_n23

DIMACS10/delaunay_n23
DIMACS10@delaunay_n24

DIMACS10/delaunay_n24
DIMACS10@europe_osm

DIMACS10/europe_osm
DIMACS10@fe_4elt2

DIMACS10/fe_4elt2
DIMACS10@fe_body

DIMACS10/fe_body

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