• 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/GD95_c
  • Description: Pajek network: Graph Drawing contest 1995
  • download as a MATLAB mat-file, file size: 2 KB. Use UFget(1487) or UFget('Pajek/GD95_c') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Pajek/GD95_c

    Pajek/GD95_c graph

    Pajek/GD95_c graph

    Matrix properties
    number of rows62
    number of columns62
    nonzeros287
    structural full rank?yes
    structural rank62
    # of blocks from dmperm1
    # strongly connected comp.1
    entries not in dmperm blocks0
    explicit zero entries0
    nonzero pattern symmetry 100%
    numeric value symmetry 100%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorGraph Drawing Contest
    editorV. Batagelj
    date1995
    kinddirected graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 62-by-3
    coordfull 62-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.

    Ordering statistics:AMD METIS
    nnz(chol(P*(A+A'+s*I)*P'))234 273
    Cholesky flop count9.3e+02 1.3e+03
    nnz(L+U), no partial pivoting406 484
    nnz(V) for QR, upper bound nnz(L) for LU309 321
    nnz(R) for QR, upper bound nnz(U) for LU604 694

    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.