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