This page lists all the datasets we have collected and used in our papers. To access them, please send an email to me (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
column | meaning |
---|---|
uid | user ID |
locid | location ID |
lat | latitude |
lng | longitude |
city_5.ano_friends: social network
column | meaning |
---|---|
u1 | user ID |
u2 | user ID |
city in {ny, la, london}, each user has at least 5 check-ins in the city
Stats
New York | Los Angeles | London | |
---|---|---|---|
Number of check-ins | 3,400,138 | 2,410,201 | 1,227,065 |
Number of users | 190,753 | 135,088 | 77,182 |
Number of locations | 30,546 | 27,115 | 13,686 |
Number of social links | 1,621,626 | 1,106,832 | 303,665 |
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