Matrix: Pajek/SmallW

Description: Pajek network: SmallW citation network

Pajek/SmallW graph Pajek/SmallW graph
(bipartite graph drawing) (graph drawing of A+A')


Pajek/SmallW
scc of Pajek/SmallW

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  • Matrix group: Pajek
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  • download as a MATLAB mat-file, file size: 6 KB. Use UFget(1523) or UFget('Pajek/SmallW') in MATLAB.
  • download in Matrix Market format, file size: 6 KB.
  • download in Rutherford/Boeing format, file size: 5 KB.

    Matrix properties
    number of rows396
    number of columns396
    nonzeros994
    # strongly connected comp.396
    explicit zero entries0
    nonzero pattern symmetry 0%
    numeric value symmetry 0%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorE. Garfield
    editorV. Batagelj
    date2002
    kinddirected multigraph
    2D/3D problem?no

    Additional fieldssize and type
    pubyearfull 396-by-1
    gcsfull 396-by-1
    nodenamefull 396-by-18

    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/.                                
    ------------------------------------------------------------------------------
     Papers that cite S Milgram's 1967 Psychology Today paper or use Small World  
    Tue Jul 23 13:35:11 2002                                                      
    

    SVD-based statistics:
    norm(A)32.8034
    min(svd(A))0
    cond(A)Inf
    rank(A)92
    null space dimension304
    full numerical rank?no
    singular value gap6.04833e+13

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

    Pajek/SmallW 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.