Matrix: Newman/cond-mat

Description: collaboration network, preprints in condensed matter archive,

Newman/cond-mat graph
(undirected graph drawing)

scc of Newman/cond-mat

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  • download as a MATLAB mat-file, file size: 413 KB. Use UFget(2393) or UFget('Newman/cond-mat') in MATLAB.
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    Matrix properties
    number of rows16,726
    number of columns16,726
    # strongly connected comp.1,188
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    Cholesky candidate?no
    positive definite?no

    authorM. Newman
    editorM. Newman
    kindundirected weighted graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 16726-by-23


    Network collection from M. Newman                                                                    
    The graph cond-mat contains the collaboration network of scientists        
    posting preprints on the condensed matter archive at,        
    1995-1999, as compiled by M. Newman.  The network is weighted, with weights
    assigned as described in the original papers.  Please cite, as appropriate,
    one or more of:                                                            
      M. E. J. Newman, The structure of scientific collaboration networks,     
      Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).                           
      M. E. J. Newman, Scientific collaboration networks: I. Network           
      construction and fundamental results, Phys. Rev. E 64, 016131 (2001).    
      M. E. J. Newman, Scientific collaboration networks: II. Shortest paths,  
      weighted networks, and centrality, Phys. Rev. E 64, 016132 (2001).       

    SVD-based statistics:
    null space dimension1,203
    full numerical rank?no
    singular value gap945337

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

    Newman/cond-mat 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.