Matrix: Pajek/SmaGri

Description: Pajek network: SmaGri citation network

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


Pajek/SmaGri
scc of Pajek/SmaGri

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: Pajek
  • Click here for a description of the Pajek group.
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  • download as a MATLAB mat-file, file size: 18 KB. Use UFget(1522) or UFget('Pajek/SmaGri') in MATLAB.
  • download in Matrix Market format, file size: 21 KB.
  • download in Rutherford/Boeing format, file size: 17 KB.

    Matrix properties
    number of rows1,059
    number of columns1,059
    nonzeros4,919
    # strongly connected comp.1,057
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorE. Garfield
    editorV. Batagelj
    date2001
    kinddirected multigraph
    2D/3D problem?no

    Additional fieldssize and type
    pubyearfull 1059-by-1
    gcsfull 1059-by-1
    nodenamefull 1059-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/.                                
    ------------------------------------------------------------------------------
     Citations to Small & Griffith and Descendants, Thu Nov 8 10:40:55 2001       
    

    SVD-based statistics:
    norm(A)21.6301
    min(svd(A))0
    cond(A)Inf
    rank(A)511
    null space dimension548
    full numerical rank?no
    singular value gap6.20492e+12

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

    Pajek/SmaGri 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.