Matrix: DIMACS10/G_n_pin_pout

Description: DIMACS10 set: clustering/G_n_pin_pout

DIMACS10/G_n_pin_pout graph
(undirected graph drawing)


DIMACS10/G_n_pin_pout
scc of DIMACS10/G_n_pin_pout

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  • Matrix group: DIMACS10
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  • download as a MATLAB mat-file, file size: 2 MB. Use UFget(2574) or UFget('DIMACS10/G_n_pin_pout') in MATLAB.
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  • download in Rutherford/Boeing format, file size: 1 MB.

    Matrix properties
    number of rows100,000
    number of columns100,000
    nonzeros1,002,396
    # strongly connected comp.6
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    typebinary
    structuresymmetric
    Cholesky candidate?no
    positive definite?no

    authorH. Meyerhenke
    editorH. Meyerhenke
    date2011
    kindrandom undirected graph
    2D/3D problem?no

    Notes:

    DIMACS10 set: clustering/G_n_pin_pout                               
    source: http://www.cc.gatech.edu/dimacs10/archive/clustering.shtml  
                                                                        
    This graph has been generated using a two-level Gnp random-graph    
    generator.  First, each vertex chooses a cluster to belong to,      
    iid randomly. Then, in the spirit of the Erdos-Renyi model,         
    cluster-internal edges are created with a given internal            
    probability each, then cluster-external edges are created with a    
    smaller external probability each. The parameters for this          
    instance are: 100000 vertices, 316 clusters, the internal and       
    the external edge probability are chosen such that the expected     
    number of cluster-internal and the expected number of cluster-      
    external incidences of a node are both five. Such a graph is simple.
    For references, details and a dynamic version see the project page: 
    http://i11www.iti.uni-karlsruhe.de/en/projects/spp1307/dyngen       
    

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 12-Mar-2014.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.