• UF Sparse Matrix Collection
  • Matrix group: Pajek
  • Click here for a description of the Pajek group.
  • Click here for a list of all matrices
  • Click here for a list of all matrix groups


  • Matrix: Pajek/football
  • Description: Pajek network: World Soccer, Paris 1998
  • download as a MATLAB mat-file, file size: 2 KB. Use UFget(1474) or UFget('Pajek/football') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Pajek/football

    scc of Pajek/football

    Pajek/football graph

    Pajek/football graph

    Matrix properties
    number of rows35
    number of columns35
    nonzeros118
    structural full rank?no
    structural rank19
    # of blocks from dmperm5
    # strongly connected comp.35
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorL. Krempel
    editorV. Batagelj
    date1998
    kinddirected weighted graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 35-by-3
    coordfull 35-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 0.5, and have been removed.  This graph has 2D coordinates.                
    

    Ordering statistics:AMD METIS
    nnz(chol(P*(A+A'+s*I)*P'))200 208
    Cholesky flop count1.4e+03 1.5e+03
    nnz(L+U), no partial pivoting365 381
    nnz(V) for QR, upper bound nnz(L) for LU112 131
    nnz(R) for QR, upper bound nnz(U) for LU146 151

    Maintained by Tim Davis, last updated 04-May-2008.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.