Matrix: Pajek/Kohonen

Description: Pajek network: Kohonen citation network

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


Pajek/Kohonen
scc of Pajek/Kohonen

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  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 61 KB. Use UFget(1507) or UFget('Pajek/Kohonen') in MATLAB.
  • download in Matrix Market format, file size: 66 KB.
  • download in Rutherford/Boeing format, file size: 56 KB.

    Matrix properties
    number of rows4,470
    number of columns4,470
    nonzeros12,731
    # strongly connected comp.4,459
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorE. Garfield
    editorV. Batagelj, A. Mrvar
    date2002
    kinddirected graph
    2D/3D problem?no

    Additional fieldssize and type
    pubyearfull 4470-by-1
    gcsfull 4470-by-1
    nodenamefull 4470-by-23

    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/.                                
    ------------------------------------------------------------------------------
     Articles with topic "self-organizing maps" or references to "Kohonen T",     
    Tue Jun 18 10:39:51 2002                                                      
    

    SVD-based statistics:
    norm(A)29.2954
    min(svd(A))0
    cond(A)Inf
    rank(A)1,652
    null space dimension2,818
    full numerical rank?no
    singular value gap2.82413e+13

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

    Pajek/Kohonen 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.