Matrix: Pajek/divorce

Description: Pajek network: divorce laws in the 50 US states

Pajek/divorce graph
(bipartite graph drawing)


Pajek/divorce

  • Home page of the 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
  • download as a MATLAB mat-file, file size: 1 KB. Use UFget(1460) or UFget('Pajek/divorce') in MATLAB.
  • download in Matrix Market format, file size: 1 KB.
  • download in Rutherford/Boeing format, file size: 1 KB.

    Matrix properties
    number of rows50
    number of columns9
    nonzeros225
    structural full rank?yes
    structural rank9
    # of blocks from dmperm1
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typebinary
    structurerectangular
    Cholesky candidate?no
    positive definite?no

    author
    editorV. Batagelj
    date2006
    kindbipartite graph
    2D/3D problem?no

    Additional fieldssize and type
    colnamefull 9-by-8
    rownamefull 50-by-14

    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.stat.lsa.umich.edu/~faraway/stat503/labs/                         
    

    SVD-based statistics:
    norm(A)12.5529
    min(svd(A))0.64736
    cond(A)19.3908
    rank(A)9
    sprank(A)-rank(A)0
    null space dimension0
    full numerical rank?yes

    singular values (MAT file):click here
    SVD method used:s = svd (full (R)) ; where [~,R,E] = spqr (A) with droptol of zero
    status:ok

    Pajek/divorce svd

    For a description of the statistics displayed above, click here.

    Maintained by Tim Davis, last updated 12-Mar-2014.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.