Matrix: Pajek/Tina_AskCog

Description: Pajek network: student govt, Univ. Ljubljana, 1992 (ask, recognized)

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


Pajek/Tina_AskCog

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  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 954 bytes. Use UFget(1526) or UFget('Pajek/Tina_AskCog') in MATLAB.
  • download in Matrix Market format, file size: 770 bytes.
  • download in Rutherford/Boeing format, file size: 796 bytes.

    Matrix properties
    number of rows11
    number of columns11
    nonzeros36
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetry 50%
    numeric value symmetry 50%
    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-10

    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/.                                
    ------------------------------------------------------------------------------
     STUDENT GOVERNMENT OF UNIVERSITY OF LJUBLJANA (Hlebec 1992)                  
     asking for an opinion, recognition                                           
    

    SVD-based statistics:
    norm(A)4.12031
    min(svd(A))0.208268
    cond(A)19.7837
    rank(A)11
    null space dimension0
    full numerical rank?yes

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

    Pajek/Tina_AskCog 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.