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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Schenk_IBMNA@c-53

Schenk_IBMNA/c-53
Schenk_IBMNA@c-54

Schenk_IBMNA/c-54
Schenk_IBMNA@c-56

Schenk_IBMNA/c-56
Schenk_IBMNA@c-57

Schenk_IBMNA/c-57
Schenk_IBMNA@c-60

Schenk_IBMNA/c-60
Schenk_IBMNA@c-61

Schenk_IBMNA/c-61
Schenk_IBMNA@c-62

Schenk_IBMNA/c-62
Schenk_IBMNA@c-64

Schenk_IBMNA/c-64
Schenk_IBMNA@c-64b

Schenk_IBMNA/c-64b
Schenk_IBMNA@c-65

Schenk_IBMNA/c-65
Schenk_IBMNA@c-66

Schenk_IBMNA/c-66
Schenk_IBMNA@c-66b

Schenk_IBMNA/c-66b
Schenk_IBMNA@c-67

Schenk_IBMNA/c-67
Schenk_IBMNA@c-67b

Schenk_IBMNA/c-67b
Schenk_IBMNA@c-73

Schenk_IBMNA/c-73
Schenk_IBMNA@c-73b

Schenk_IBMNA/c-73b
Schenk_IBMNA@c-big

Schenk_IBMNA/c-big
Schenk_IBMSDS@2D_27628_bjtcai

Schenk_IBMSDS/2D_27628_bjtcai
Schenk_IBMSDS@2D_54019_highK

Schenk_IBMSDS/2D_54019_highK
Schenk_IBMSDS@3D_28984_Tetra

Schenk_IBMSDS/3D_28984_Tetra

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