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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LAW@hollywood-2009

LAW/hollywood-2009
LAW@in-2004

LAW/in-2004
LAW@indochina-2004

LAW/indochina-2004
LAW@it-2004

LAW/it-2004
LAW@ljournal-2008

LAW/ljournal-2008
LAW@sk-2005

LAW/sk-2005
LAW@uk-2002

LAW/uk-2002
LAW@uk-2005

LAW/uk-2005
LAW@webbase-2001

LAW/webbase-2001
Lee@fem_filter

Lee/fem_filter
Lee@fem_hifreq_circuit

Lee/fem_hifreq_circuit
Li@li

Li/li
Lin@Lin

Lin/Lin
Li@pli

Li/pli
LiuWenzhuo@powersim

LiuWenzhuo/powersim
Lourakis@bundle1

Lourakis/bundle1
LPnetlib@lp_25fv47

LPnetlib/lp_25fv47
LPnetlib@lp_80bau3b

LPnetlib/lp_80bau3b
LPnetlib@lp_adlittle

LPnetlib/lp_adlittle
LPnetlib@lp_afiro

LPnetlib/lp_afiro

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