ego-Facebook

Citation Author(s):: Julian McAuley

Jure Leskovec
Submitted by:: Tan Tran
Last updated:: Fri, 04/04/2025 - 10:08
DOI:: 10.21227/1w5w-qb77
Data Format:: **.mat; *.txt
Research Article Link:: Learning to Discover Social Circles in Ego Networks

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Categories:

Demographic

Keywords:

Facebook accounts

social network

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Abstract

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.

Instructions:

Files: nodeId.edges : The edges in the ego network for the node 'nodeId'. Edges are undirected for facebook, and directed (a follows b) for twitter and gplus. The 'ego' node does not appear, but it is assumed that they follow every node id that appears in this file. nodeId.circles : The set of circles for the ego node. Each line contains one circle, consisting of a series of node ids. The first entry in each line is the name of the circle. nodeId.feat : The features for each of the nodes that appears in the edge file. nodeId.egofeat : The features for the ego user. nodeId.featnames : The names of each of the feature dimensions. Features are '1' if the user has this property in their profile, and '0' otherwise. This file has been anonymized for facebook users, since the names of the features would reveal private data.