Matrix: Newman/polbooks

Description: Books about US politics, compiled by V. Krebs

Newman/polbooks graph
(undirected graph drawing)


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  • download as a MATLAB mat-file, file size: 4 KB. Use UFget(2403) or UFget('Newman/polbooks') in MATLAB.
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    Matrix properties
    number of rows105
    number of columns105
    # strongly connected comp.1
    explicit zero entries0
    nonzero pattern symmetrysymmetric
    numeric value symmetrysymmetric
    Cholesky candidate?no
    positive definite?no

    authorV. Krebs
    editorM. Newman
    kindundirected graph
    2D/3D problem?no

    Additional fieldssize and type
    nodenamefull 105-by-48
    nodevaluefull 105-by-1


    Network collection from M. Newman                                                                  
    Books about US politics                                                   
    Compiled by Valdis Krebs                                                  
    Nodes represent books about US politics sold by the online bookseller  Edges represent frequent co-purchasing of books by the same  
    buyers, as indicated by the "customers who bought this book also bought   
    these other books" feature on Amazon.                                     
    Nodes have been given values "l", "n", or "c" to indicate whether they are
    "liberal", "neutral", or "conservative".  These alignments were assigned  
    separately by Mark Newman based on a reading of the descriptions and      
    reviews of the books posted on Amazon.                                    
    These data should be cited as V. Krebs, unpublished,                                                                    

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

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

    Newman/polbooks 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.