• 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/Cities
  • Description: Pajek network: www.lboro.ac.uk/gawc, data set 6
  • download as a MATLAB mat-file, file size: 4 KB. Use UFget(1457) or UFget('Pajek/Cities') in MATLAB.
  • download in Matrix Market format
  • download in Rutherford/Boeing format

    Pajek/Cities

    Matrix properties
    number of rows55
    number of columns46
    nonzeros1,342
    structural full rank?yes
    structural rank46
    # of blocks from dmperm1
    # strongly connected comp.1
    entries not in dmperm blocks0
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structurerectangular
    Cholesky candidate?no
    positive definite?no

    authorP. Taylor, D. Walker
    editorV. Batagelj
    date2001
    kindweighted bipartite graph
    2D/3D problem?no

    Additional fieldssize and type
    clusterfull 101-by-1
    colnamefull 46-by-45
    rownamefull 55-by-13

    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/.                                
    ------------------------------------------------------------------------------
     http://www.lboro.ac.uk/gawc/datasets/da6.html                                
     Accountancy                                                                  
     Advertising                                                                  
     Banking and Finance                                                          
     Law                                                                          
    

    Ordering statistics:AMD METIS
    nnz(V) for QR, upper bound nnz(L) for LU1,495 1,495
    nnz(R) for QR, upper bound nnz(U) for LU1,081 1,081

    Maintained by Tim Davis, last updated 05-Mar-2008.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.