This page lists all the datasets we have collected and used in our papers. To access them, please send an email to me (yang.zhang@cispa.saarland).

walk2friends

This dataset contains over 7M check-ins collected from 403,023 Instagram users in New York, Los Angeles and London in 2015. It also contains social relations among these users.

Visualization

A day in three cities through the lens of Instagram

Format

city_5.ano_checkin: check-ins

columnmeaning
uiduser ID
locidlocation ID
latlatitude
lnglongitude

city_5.ano_friends: social network

columnmeaning
u1user ID
u2user ID

city in {ny, la, london}, each user has at least 5 check-ins in the city

Stats

 New YorkLos AngelesLondon
Number of check-ins3,400,1382,410,2011,227,065
Number of users190,753135,08877,182
Number of locations30,54627,11513,686
Number of social links1,621,6261,106,832303,665

Citation

@inproceedings{BHPZ17,
author = {Michael Backes and Mathias Humbert and Jun Pang and Yang Zhang},
title = {walk2friends: Inferring Social Links from Mobility Profiles},
booktitle = {Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (CCS)},
pages = {1943-1957},
publisher = {ACM},
year = {2017}
}

Tagvisor

coming soon