Matrix: Pajek/GD01_Acap

Description: Pajek network: Graph Drawing contest 2001

Pajek/GD01_Acap graph Pajek/GD01_Acap graph
(bipartite graph drawing) (graph drawing of A+A')


Pajek/GD01_Acap
scc of Pajek/GD01_Acap Pajek/GD01_Acap graph

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  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 8 KB. Use UFget(1478) or UFget('Pajek/GD01_Acap') in MATLAB.
  • download in Matrix Market format, file size: 7 KB.
  • download in Rutherford/Boeing format, file size: 7 KB.

    Matrix properties
    number of rows953
    number of columns953
    nonzeros645
    # strongly connected comp.945
    explicit zero entries0
    nonzero pattern symmetry 2%
    numeric value symmetry 2%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorGraph Drawing Contest
    editorV. Batagelj
    date2001
    kinddirected multigraph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 953-by-38
    coordfull 953-by-3

    Notes:

    ------------------------------------------------------------------------------
    Pajek network converted to sparse adjacency matrix for inclusion in UF sparse 
    matrix collection, Tim Davis.  For Pajek datasets, See V. Batagelj & A. Mrvar,
    http://vlado.fmf.uni-lj.si/pub/networks/data/.                                
    ------------------------------------------------------------------------------
                                                                                  
    March 10, 2014:  name changed from Pajek/GD01_A to Pajek/GD01_Acap            
    because of a filename conflict with Pajek/GD01_a.  On the Mac, the            
    two filenames are indistinguishable.                                          
    ------------------------------------------------------------------------------
    

    SVD-based statistics:
    norm(A)6.40144
    min(svd(A))0
    cond(A)Inf
    rank(A)155
    null space dimension798
    full numerical rank?no
    singular value gap4.43199e+13

    singular values (MAT file):click here
    SVD method used:s = svd (full (A)) ;
    status:ok

    Pajek/GD01_Acap svd

    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.