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Twitter 社交数据集

Twitter 社交数据集

Scene:

NLP

Data Type:

Classification
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Stanford University

A place for learning, discovery, innovation, expression and discourse

Data Preview ? 31.4M

    Data Structure ?

    *数据结构实际以真实数据为准

    This dataset consists of 'circles' (or 'lists') from Twitter. Twitter data was crawled from public sources. The dataset includes node features (profiles), circles, and ego networks.

    Dataset statistics
    Nodes 81306
    Edges 1768149
    Nodes in largest WCC 81306 (1.000)
    Edges in largest WCC 1768149 (1.000)
    Nodes in largest SCC 68413 (0.841)
    Edges in largest SCC 1685163 (0.953)
    Average clustering coefficient 0.5653
    Number of triangles 13082506
    Fraction of closed triangles 0.06415
    Diameter (longest shortest path) 7
    90-percentile effective diameter 4.5

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

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