Matrix: Pajek/Tina_DisCal

Description: Pajek network: student govt, Univ. Ljubljana, 1992 (discuss, recall)

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


Pajek/Tina_DisCal
scc of Pajek/Tina_DisCal Pajek/Tina_DisCal graph

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 1 KB. Use UFget(1527) or UFget('Pajek/Tina_DisCal') in MATLAB.
  • download in Matrix Market format, file size: 907 bytes.
  • download in Rutherford/Boeing format, file size: 950 bytes.

    Matrix properties
    number of rows11
    number of columns11
    nonzeros41
    # strongly connected comp.3
    explicit zero entries0
    nonzero pattern symmetry 44%
    numeric value symmetry 44%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorV. Batagelj
    editorV. Batagelj
    date1992
    kinddirected graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 11-by-9
    coordfull 11-by-2

    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/.                                
    ------------------------------------------------------------------------------
    The original problem had 3D xyz coordinates, but all values of z were equal   
    to 0, and have been removed.  This graph has 2D coordinates.                  
    

    SVD-based statistics:
    norm(A)4.78646
    min(svd(A))0
    cond(A)Inf
    rank(A)10
    null space dimension1
    full numerical rank?no
    singular value gapInf

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

    Pajek/Tina_DisCal 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.