SNAP Social Circles

SNAP Social Circles:

This dataset contains circles (different friendship networks) of the ego-networks of the users in social networks (Facebook, Twitter and Google+) and the dataset features are the related information of the users’ profiles including university, school, sport team, etc. The dataset was collected for a study to build a generative model of social circles with unsupervised learning of the model parameters.

Here is some information regarding this dataset:

Facebook

  • Number of ego-networks: 10

  • Number of nodes: 4039

  • Number of Edges: 88,234

To find more information and the links of download, please refer to https://snap.stanford.edu/data/ego-Facebook.html.

Twitter

  • Number of ego-networks: 1000

  • Number of nodes: 81,306

  • Number of Edges: 1,768,149

To find more information and the links of download, please refer to https://snap.stanford.edu/data/ego-Twitter.html.

Google+

  • Number of Ego-networks: 133

  • Number of Nodes: 107,614

  • Number of Edges: 13,673,453

To find more information and the links of download, please refer to https://snap.stanford.edu/data/ego-Gplus.html.

If you use any of the 3 datasets provided above:

Make sure to cite the paper:

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

Keywords: Social Network, Network, Facebook, Twitter, Google+