Published November 1, 2021
| Version v2
Dataset
Open
Swarm Check-ins
Authors/Creators
-
1.
Pontifícia Universidade Católica de Minas Gerais
Description
This database was created and collected with the goal of observing patterns in urban mobility. To achieve this, the Twitter API was used to collect public check-ins made by users via Foursquare Swarm.
check-in.csv description:
- venueID: Foursquare venue identifier
- userID: Swarm user identifier
- venueName: Name of the venue where the check-in was made
- category: Category of the venue where the check-in was made
- country: Country of the venue where the check-in was made
- city: City of the venue where the check-in was made
- timestamp: Time when the check-in was shared on Twitter
- latitude: Latitude of the venue where the check-in was made
- longitude: Longitude of the venue where the check-in was made
The file categories.json contains information from all Foursquare categories.
Files
categories.json
Files
(153.1 MB)
| Name | Size | Download all |
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md5:cbd7aa2e41983198bb4c2ba64449e827
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422.1 kB | Preview Download |
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md5:43a6515c5206cb8dd1b9e499aeeb0f91
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152.6 MB | Preview Download |
Additional details
Related works
- Is published in
- Conference paper: 10.5753/sbbd_estendido.2023.233144 (DOI)
- Conference paper: 10.5753/courb.2023.774 (DOI)