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Facebook圈子数据集

Facebook圈子数据集

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NLP Classification

This dataset consists of 'circles' (or 'friends lists') from Facebook. Facebook data was collected from......

数据结构 ? 1M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    This dataset consists of 'circles' (or 'friends lists') from Facebook. Facebook data was collected from survey participants using this Facebook app. The dataset includes node features (profiles), circles, and ego networks.

    Facebook data has been anonymized by replacing the Facebook-internal ids for each user with a new value. Also, while feature vectors from this dataset have been provided, the interpretation of those features has been obscured. For instance, where the original dataset may have contained a feature "political=Democratic Party", the new data would simply contain "political=anonymized feature 1". Thus, using the anonymized data it is possible to determine whether two users have the same political affiliations, but not what their individual political affiliations represent.

    Data is also available from Google+ and Twitter.


    Dataset statistics
    Nodes 4039
    Edges 88234
    Nodes in largest WCC 4039 (1.000)
    Edges in largest WCC 88234 (1.000)
    Nodes in largest SCC 4039 (1.000)
    Edges in largest SCC 88234 (1.000)
    Average clustering coefficient 0.6055
    Number of triangles 1612010
    Fraction of closed triangles 0.2647
    Diameter (longest shortest path) 8
    90-percentile effective diameter 4.7

    Note that these statistics were compiled by combining the ego-networks, including the ego nodes themselves (along with an edge to each of their friends).


    Citation

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



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