Matrix: Pajek/Journals

Description: Pajek network: Slovenian journals 1999-2000

Pajek/Journals graph
(undirected graph drawing)


  • 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: 27 KB. Use UFget(1506) or UFget('Pajek/Journals') in MATLAB.
  • download in Matrix Market format, file size: 22 KB.
  • download in Rutherford/Boeing format, file size: 14 KB.

    Matrix properties
    number of rows124
    number of columns124
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    Cholesky candidate?yes
    positive definite?yes

    authorCATI Center Ljubljana
    editorV. Batagelj
    kindundirected weighted graph
    2D/3D problem?no

    Additional fieldssize and type
    partitionfull 124-by-1
    nodenamefull 124-by-21


    Pajek network converted to sparse adjacency matrix for inclusion in UF sparse 
    matrix collection, Tim Davis.  For Pajek datasets, See V. Batagelj & A. Mrvar,                                
     slovenske revije / Cati center, Ljubljana                                    
     leto 1999 + leto 2000 / vsi anketirani                                       
      1 dnevniki                        8 revije\mo�ke specializirane             
      2 revije\poslovne                 9 revije\najstni�ke                       
      3 revije\racunalni�ke            10 revije\regionalne                       
      4 revije\dom in oprema           11 revije\specializirane                   
      5 revije\modne                   12 revije\�enske specializirane            
      6 revije\informativni tedniki    13 revije\tv vodici                        
      7 revije\brezplacniki            14 revije\�enske                           

    SVD-based statistics:
    null space dimension0
    full numerical rank?yes

    singular values (MAT file):click here
    SVD method used:s = svd (full (A)) ;

    Pajek/Journals 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.