Matrix: LAW/amazon-2008

Description: Book similarity network, Amazon

LAW/amazon-2008 graph LAW/amazon-2008 graph
(bipartite graph drawing) (graph drawing of A+A')


LAW/amazon-2008
scc of LAW/amazon-2008

  • Home page of the UF Sparse Matrix Collection
  • Matrix group: LAW
  • Click here for a description of the LAW 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: 10 MB. Use UFget(2445) or UFget('LAW/amazon-2008') in MATLAB.
  • download in Matrix Market format, file size: 14 MB.
  • download in Rutherford/Boeing format, file size: 11 MB.

    Matrix properties
    number of rows735,323
    number of columns735,323
    nonzeros5,158,388
    # strongly connected comp.90,660
    explicit zero entries0
    nonzero pattern symmetry 63%
    numeric value symmetry 63%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorLaboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, http://law.di.unimi.it/index.php
    editorLaboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, http://law.di.unimi.it/index.php
    date2008
    kinddirected graph
    2D/3D problem?no

    Notes:

    Laboratory for Web Algorithmics (LAW), Universita degli Studi di Milano, 
    http://law.di.unimi.it/index.php.  When using matrices in the LAW/ group 
    in the collection, please follow the citation instructions at            
    http://law.di.unimi.it/datasets.php.  If you publish results based on    
    these graphs, please acknowledge the usage of WebGraph and LLP by quoting
    the following papers:                                                    
                                                                             
    [1] "The WebGraph Framework I: Compression Techniques," Paolo Boldi      
        and Sebastiano Vigna, Proc. of the Thirteenth International          
        World Wide Web Conference (WWW 2004), 2004, Manhattan, USA,          
        pp. 595--601, ACM Press.                                             
                                                                             
    [2] "Layered Label Propagation: A MultiResolution Coordinate-Free        
        Ordering for Compressing Social Networks," Paolo Boldi, Marco        
        Rosa, Massimo Santini, and Sebastiano Vigna, Proceedings of the      
        20th international conference on World Wide Web, 2011, ACM Press.    
                                                                             
    If the graphs you are using were gathered by UbiCrawler, please          
    acknowledge the usage of UbiCrawler by quoting the following paper:      
                                                                             
    [3] "UbiCrawler: A Scalable Fully Distributed Web Crawler",              
        Paolo Boldi, Bruno Codenotti, Massimo Santini, and Sebastiano        
        Vigna, Software: Practice & Experience, 2004, vol 34, no. 8,         
        pp. 711--726                                                         
                                                                             
    LAW/amazon-2008                                                          
                                                                             
    A symmetric graph describing similarity among books as reported          
    by the Amazon store. More precisely the data was obtained using          
    the Amazon E- Commerce Service APIs using SimilarityLookup queries.      
                                                                             
    For additional graph properties and statistics, including node labels,   
    see http://law.di.unimi.it/webdata/amazon-2008                           
    

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

    Maintained by Tim Davis, last updated 09-Mar-2015.
    Matrix pictures by cspy, a MATLAB function in the CSparse package.
    Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.