Publication: Qingyuan Gong, Yang Chen, Jiyao Hu, Qiang Cao, Pan Hui, Xin Wang. Understanding Cross-site Linking in Online Social Networks. ACM Transactions on the Web (TWEB), 2018, 12(4):25:1-25:29. (full citation below)
Licensed under Creative Commons Attribution Share Alike 4.0.
This dataset covers 61.39 million Foursquare users, including all their profile information fields shown on their homepages, the statistical counts of their activities, and the social graph.
- profile.tar.gz: the profile information and activity statistics of all Foursquare users.
Each line in Foursquare_profile.txt is an entry of user's information, including her demographic information fields, and the statistics of her activities. For each line, the format is:
[Anonymized UID, number of followings, number of followers, number of tips, number of checkins, gender (m: male, f: female, -: none), has_lastname (1: yes, 0: no), has_bio (1:yes, 0: no), has_photo (1: yes, 0: no), is_superuser (1: yes, 0: no), linked to Facebook (1: yes, 0: no), linked to Twitter (1: yes, 0: no), is_early_user (1:early user, 0: non-early user), location]
For example, an entry
[358, 12, 14, 1, 185, "m", 1, 0, 1, 0, 1, 1, 1, "New York, NY"]
shows that the user has an anonymized ID of 358, has 12 followings and 14 followers, has left 1 tips and conducted 185 check-ins. He is a male user, and has filled his lastname into the information field. He has not filled in the biography field. He has uploaded a photo. He is not a superuser of Foursquare. He has linked to Facebook and Twitter accounts. He is an early user. Finally, his location is New York, NY.
- Foursquare_Graph.tar.gz: the social graph of all Foursquare users
There are two files in Foursquare_Graph.tar.gz. One is node.csv, the other is edges.csv.
Each line of node.csv represents an anonymized user ID of a Foursquare user.
Each line in edges.csv represents a directed edge of the Foursquare network.
For example, in a line
23,24
We can conclude that user 23 follows user 24. 23 and 24 are the anonymized IDs of the two users.
@article{Gong_CrossOSN18,
author={Qingyuan Gong and Yang Chen and Jiyao Hu and Qiang Cao and Pan Hui and Xin Wang},
title={{Understanding Cross-site Linking in Online Social Networks}},
journal={ACM Transactions on the Web},
year={2018},
volume = {12},
number = {4},
pages = {25:1--25:29},
}