Pajek/GD01_a graph

Matrix: Pajek/GD01_a

Description: Pajek network: Graph Drawing contest 2000


  • 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: 7 KB. Use UFget(1477) or UFget('Pajek/GD01_a') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Pajek/GD01_a

    scc of Pajek/GD01_a

    Pajek/GD01_a graph

    Matrix properties
    number of rows311
    number of columns311
    nonzeros645
    structural full rank?no
    structural rank158
    # of blocks from dmperm61
    # strongly connected comp.303
    explicit zero entries0
    nonzero pattern symmetry 2%
    numeric value symmetry 2%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorGraph Drawing Contest
    editorV. Batagelj
    date2001
    kinddirected weighted graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 311-by-38
    coordfull 311-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'))2,261 2,491
    Cholesky flop count4.1e+04 5.0e+04
    nnz(L+U), no partial pivoting4,211 4,671
    nnz(V) for QR, upper bound nnz(L) for LU2,050 1,907
    nnz(R) for QR, upper bound nnz(U) for LU2,186 2,263

    Maintained by Tim Davis, last updated 30-Sep-2008.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.