Matrix: SNAP/soc-sign-epinions

Description: Epinions signed social network

SNAP/soc-sign-epinions graph SNAP/soc-sign-epinions graph
(bipartite graph drawing) (graph drawing of A+A')


SNAP/soc-sign-epinions

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  • Matrix group: SNAP
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  • download as a MATLAB mat-file, file size: 2 MB. Use UFget(2325) or UFget('SNAP/soc-sign-epinions') in MATLAB.
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    Matrix properties
    number of rows131,828
    number of columns131,828
    nonzeros841,372
    # strongly connected comp.88,609
    explicit zero entries0
    nonzero pattern symmetry 31%
    numeric value symmetry 30%
    typeinteger
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorJ. Leskovec, D. Huttenlocher, J. Kleinberg
    editorJ. Leskovec
    date2010
    kinddirected weighted 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                                                 
                                                                                  
    Epinions social network                                                       
                                                                                  
    Dataset information                                                           
                                                                                  
    This is who-trust-whom online social network of a a general consumer review   
    site Epinions.com. Members of the site can decide whether to ''trust'' each   
    other. All the trust relationships interact and form the Web of Trust which is
    then combined with review ratings to determine which reviews are shown to the 
    user.                                                                         
                                                                                  
    Dataset statistics                                                            
                                                                                  
    Nodes   131828                                                                
    Edges   841372                                                                
    Nodes in largest WCC    119130 (0.904)                                        
    Edges in largest WCC    833695 (0.991)                                        
    Nodes in largest SCC    41441 (0.314)                                         
    Edges in largest SCC    693737 (0.825)                                        
    Average clustering coefficient  0.2424                                        
    Number of triangles     4910076                                               
    Fraction of closed triangles    0.08085                                       
    Diameter (longest shortest path)    14                                        
    90-percentile effective diameter    4.9                                       
                                                                                  
    Source (citation)                                                             
                                                                                  
    J. Leskovec, D. Huttenlocher, J. Kleinberg: Signed Networks in Social Media.  
    28th ACM Conference on Human Factors in Computing Systems (CHI), 2010.        
    http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf                      
                                                                                  
    Files                                                                         
    File    Description                                                           
    soc-sign-epinions.txt.gz    Directed Epinions signed social network           
    

    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.