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公开数据集

Google+ 社交圈子数据集

Google+ 社交圈子数据集

Scene:

NLP

Data Type:

Classification
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Stanford University

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Data Preview ? 773M

    Data Structure ?

    *数据结构实际以真实数据为准

    This dataset consists of 'circles' from Google+. Google+ data was collected from users who had manually shared their circles using the 'share circle' feature. The dataset includes node features (profiles), circles, and ego networks.

    Dataset statistics
    Nodes 107614
    Edges 13673453
    Nodes in largest WCC 107614 (1.000)
    Edges in largest WCC 13673453 (1.000)
    Nodes in largest SCC 69501 (0.646)
    Edges in largest SCC 9168660 (0.671)
    Average clustering coefficient 0.4901
    Number of triangles 1073677742
    Fraction of closed triangles 0.6552
    Diameter (longest shortest path) 6
    90-percentile effective diameter 3

    Citation
    J. McAuley and J. Leskovec. Learning to Discover Social Circles in Ego Networks. NIPS, 2012.


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