Matrix: Pajek/GD06_Java

Description: Pajek network: Graph Drawing contest 2006

Pajek/GD06_Java graph Pajek/GD06_Java graph
(bipartite graph drawing) (graph drawing of A+A')


Pajek/GD06_Java
scc of Pajek/GD06_Java

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  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 39 KB. Use UFget(1483) or UFget('Pajek/GD06_Java') in MATLAB.
  • download in Matrix Market format, file size: 30 KB.
  • download in Rutherford/Boeing format, file size: 26 KB.

    Matrix properties
    number of rows1,538
    number of columns1,538
    nonzeros8,032
    # strongly connected comp.1,028
    explicit zero entries0
    nonzero pattern symmetry 5%
    numeric value symmetry 5%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorGraph Drawing Contest
    editorV. Batagelj
    date2006
    kinddirected graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 1538-by-80

    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/.                                
    ------------------------------------------------------------------------------
     GD 2006 contest graph C: Java Dependency graph                               
     http://gd2006.org/contest/details.php#java                                   
     graph in Pajek format                                                        
     transformed by Vladimir Batagelj, July 10, 2006                              
    

    SVD-based statistics:
    norm(A)36.5008
    min(svd(A))0
    cond(A)Inf
    rank(A)744
    null space dimension794
    full numerical rank?no
    singular value gap8.9117e+12

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

    Pajek/GD06_Java 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.