Matrix: SNAP/amazon0601

Description: Amazon product co-purchasing network from June 1 2003

SNAP/amazon0601 graph SNAP/amazon0601 graph
(bipartite graph drawing) (graph drawing of A+A')


SNAP/amazon0601

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  • Matrix group: SNAP
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  • download as a MATLAB mat-file, file size: 8 MB. Use UFget(2307) or UFget('SNAP/amazon0601') in MATLAB.
  • download in Matrix Market format, file size: 11 MB.
  • download in Rutherford/Boeing format, file size: 9 MB.

    Matrix properties
    number of rows403,394
    number of columns403,394
    nonzeros3,387,388
    # strongly connected comp.1,588
    explicit zero entries0
    nonzero pattern symmetry 56%
    numeric value symmetry 56%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorJ. Leskovec, L. Adamic and B. Adamic
    editorJ. Leskovec
    date2003
    kinddirected graph
    2D/3D problem?no

    Notes:

    Networks from SNAP (Stanford Network Analysis Platform) Network Data Sets,     
    Jure Leskovec http://snap.stanford.edu/data/index.html                         
    email jure at cs.stanford.edu                                                  
                                                                                   
    Amazon product co-purchasing network, June 01 2003                             
                                                                                   
    Dataset information                                                            
                                                                                   
    Network was collected by crawling Amazon website. It is based on Customers Who 
    Bought This Item Also Bought feature of the Amazon website. If a product i is  
    frequently co-purchased with product j, the graph contains a directed edge from
    i to j.                                                                        
                                                                                   
    The data was collected in June 01 2003.                                        
    Dataset statistics                                                             
    Nodes   403394                                                                 
    Edges   3387388                                                                
    Nodes in largest WCC    403364 (1.000)                                         
    Edges in largest WCC    3387224 (1.000)                                        
    Nodes in largest SCC    395234 (0.980)                                         
    Edges in largest SCC    3301092 (0.975)                                        
    Average clustering coefficient  0.4179                                         
    Number of triangles     3986507                                                
    Fraction of closed triangles    0.1656                                         
    Diameter (longest shortest path)    21                                         
    90-percentile effective diameter    7.6                                        
                                                                                   
    Source (citation)                                                              
                                                                                   
    J. Leskovec, L. Adamic and B. Adamic. The Dynamics of Viral Marketing. ACM     
    Transactions on the Web (ACM TWEB), 1(1), 2007.                                
                                                                                   
    Files                                                                          
    File    Description                                                            
    Amazon0601.txt.gz   Amazon product co-purchaisng network from June 01 2003     
    

    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.