Swarm_Check-in_Data

926524 check-ins colleted from 3000 Swarm users
Licensed under Creative Commons Attribution Share Alike 4.0.

Description

We collected 1,562,452 check-ins from 5112 Swarm users with their consent, and randomly selected 3000 of them with 926524 check-ins at total for publicity. The selected check-ins were generated in 3 cities, i.e., Hong Kong(HK), New York City(NYC), San Francisco(SFO).
Respecting for users' privacy, we obscured the user_id field in the data.

Files

• hk.txt: The check-ins generated in Hong Kong.
• nyc.txt: The check-ins generated in New York City.
• sfo.txt: The check-ins generated in San Francisco.

Each line in .txt files is a JSON object, representing for data of an user as follow:

{
    "check-in_num":3,
    "local":0,
    "user_id":"123",
    "check-ins":[
        {
            "venue_category":"4bf58dd8d48988d1ed931735", 
            "venue_id":"4a7379d2f964a52088dc1fe3",
            "date":"2016-2-21",
            "time":"16:12:2",
            "lat":"22.3148321762",
            "lng":"113.9351031414"
        },
        {
            "venue_category":"4bf58dd8d48988d1f0931735",
            "venue_id":"4bef5da0d1b7d13a60bacdec",
            "date":"2016-1-31",
            "time":"7:13:9",
            "lat":"22.3137891166",
            "lng":"113.9338078331"
        },
        {
            "venue_category":"4bf58dd8d48988d1ed931735",
            "venue_id":"4a7379d2f964a52088dc1fe3",
            "date":"2016-1-31",
            "time":"6:40:36",
            "lat":"22.3148321762",
            "lng":"113.9351031414"
        }
    ]
}

Explanations for fields in JSON:

• check-in_num: the number of check-ins created by the user in the city
• local: whether the user is local to this city or not, 0 for nonlocal, 1 for local
• user_id: The user id has been obscured for privacy protection.
• venue_category: Refer to https://developer.foursquare.com/categorytree for detail
• venue_id the check-in venue id in Swarm
• date: year-month-day
• time: hour:minute:second
• lat: the latitude at which the check-in is generated
• lng: the longitude at which the check-in is generated

BibTex Entry

@inproceedings{lin2017understanding,
  title={Understanding user activity patterns of the Swarm app: a data-driven study},
  author={Lin, Shihan and Xie, Rong and Xie, Qinge and Zhao, Hao and Chen, Yang},
  booktitle={Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers},
  pages={125--128},
  year={2017},
  organization={ACM}
}