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@venturiLevel3

DIMACS10/venturiLevel3
DIMACS10@wing

DIMACS10/wing
DIMACS10@wing_nodal

DIMACS10/wing_nodal
DNVS@crplat2

DNVS/crplat2
DNVS@fcondp2

DNVS/fcondp2
DNVS@fullb

DNVS/fullb
DNVS@halfb

DNVS/halfb
DNVS@m_t1

DNVS/m_t1
DNVS@ship_001

DNVS/ship_001
DNVS@ship_003

DNVS/ship_003
DNVS@shipsec1

DNVS/shipsec1
DNVS@shipsec5

DNVS/shipsec5
DNVS@shipsec8

DNVS/shipsec8
DNVS@thread

DNVS/thread
DNVS@trdheim

DNVS/trdheim
DNVS@troll

DNVS/troll
DNVS@tsyl201

DNVS/tsyl201
DNVS@x104

DNVS/x104
DRIVCAV@cavity01

DRIVCAV/cavity01
DRIVCAV@cavity02

DRIVCAV/cavity02

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