• 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/GD06_Java
  • Description: Pajek network: Graph Drawing contest 2006
  • download as a MATLAB mat-file, file size: 39 KB. Use UFget(1483) or UFget('Pajek/GD06_Java') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Pajek/GD06_Java

    scc of Pajek/GD06_Java

    Pajek/GD06_Java graph

    Matrix properties
    number of rows1,538
    number of columns1,538
    nonzeros8,032
    structural full rank?no
    structural rank759
    # of blocks from dmperm204
    # strongly connected comp.1,028
    explicit zero entries0
    nonzero pattern symmetry 5%
    numeric value symmetry 5%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorGraph Drawing Contest
    editorV. Batagelj
    date2006
    kinddirected graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 1538-by-80

    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/.                                
    ------------------------------------------------------------------------------
     GD 2006 contest graph C: Java Dependency graph                               
     http://gd2006.org/contest/details.php#java                                   
     graph in Pajek format                                                        
     transformed by Vladimir Batagelj, July 10, 2006                              
    

    Ordering statistics:AMD METIS
    nnz(chol(P*(A+A'+s*I)*P'))25,548 27,471
    Cholesky flop count1.6e+06 1.6e+06
    nnz(L+U), no partial pivoting49,558 53,404
    nnz(V) for QR, upper bound nnz(L) for LU87,769 57,298
    nnz(R) for QR, upper bound nnz(U) for LU34,683 35,976

    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.