Matrix: SNAP/soc-Slashdot0811

Description: Slashdot social network from November 2008

SNAP/soc-Slashdot0811 graph SNAP/soc-Slashdot0811 graph
(bipartite graph drawing) (graph drawing of A+A')


SNAP/soc-Slashdot0811
scc of SNAP/soc-Slashdot0811

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  • download as a MATLAB mat-file, file size: 2 MB. Use UFget(2286) or UFget('SNAP/soc-Slashdot0811') in MATLAB.
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    Matrix properties
    number of rows77,360
    number of columns77,360
    nonzeros905,468
    # strongly connected comp.6,724
    explicit zero entries0
    nonzero pattern symmetry 87%
    numeric value symmetry 87%
    typebinary
    structureunsymmetric
    Cholesky candidate?no
    positive definite?no

    authorJ. Leskovec, K. Lang, A. Dasgupta, M. Mahoney
    editorJ. Leskovec
    date2008
    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                                                  
                                                                                   
    Slashdot social network, November 2008                                         
                                                                                   
    Dataset information                                                            
                                                                                   
    Slashdot is a technology-related news website know for its specific user       
    community. The website features user-submitted and editor-evaluated current    
    primarily technology oriented news. In 2002 Slashdot introduced the Slashdot   
    Zoo feature which allows users to tag each other as friends or foes. The       
    network cotains friend/foe links between the users of Slashdot. The network was
    obtained in November 2008.                                                     
                                                                                   
    Dataset statistics                                                             
    Nodes   77360                                                                  
    Edges   905468                                                                 
    Nodes in largest WCC    77360 (1.000)                                          
    Edges in largest WCC    905468 (1.000)                                         
    Nodes in largest SCC    70355 (0.909)                                          
    Edges in largest SCC    888662 (0.981)                                         
    Average clustering coefficient  0.0555                                         
    Number of triangles     551724                                                 
    Fraction of closed triangles    0.02416                                        
    Diameter (longest shortest path)    10                                         
    90-percentile effective diameter    4.7                                        
                                                                                   
    Source (citation)                                                              
                                                                                   
    J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Community Structure in Large    
    Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters.
    arXiv.org:0810.1355, 2008.                                                     
                                                                                   
    Files                                                                          
                                                                                   
    File    Description                                                            
    Slashdot0811.txt.gz     Slashdot Zoo social network from Noveber 6 2008        
    

    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.