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62,482 | 2,223 |
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62,482 | 11,064 |
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62,482 | 54,007 |
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7,087 | 67 |
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53,936 | 1,605 |
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28,508 | 1,603 |
28,508 | 38,099 |
28,508 | 43,012 |
28,508 | 19,094 |
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28,508 | 20,792 |
28,508 | 53,843 |
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28,508 | 53,875 |
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28,508 | 23,431 |
28,508 | 31,008 |
31,008 | 933 |
31,008 | 1,603 |
31,008 | 1,605 |
31,008 | 1,750 |
31,008 | 34,732 |
31,008 | 34,743 |
31,008 | 34,780 |
31,008 | 2,117 |
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31,008 | 38,099 |
31,008 | 5,568 |
31,008 | 38,475 |
31,008 | 7,845 |
31,008 | 42,991 |
31,008 | 43,001 |
31,008 | 43,012 |
31,008 | 43,036 |
31,008 | 43,053 |
31,008 | 43,083 |
31,008 | 11,977 |
31,008 | 46,423 |
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31,008 | 53,811 |
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31,008 | 53,856 |
31,008 | 53,862 |
31,008 | 53,875 |
31,008 | 23,431 |
31,008 | 28,381 |
31,008 | 31,005 |
56,049 | 1,750 |
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3,588 | 628 |
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3,588 | 1,174 |
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3,588 | 5,515 |
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3,588 | 5,917 |
3,588 | 6,752 |
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3,588 | 10,015 |
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3,588 | 13,801 |
3,588 | 21,313 |
3,588 | 31,261 |
3,588 | 38,368 |
3,588 | 38,378 |
3,588 | 38,568 |
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44,564 | 1,295 |
44,564 | 13,351 |
30,653 | 2,169 |
60,707 | 2,117 |
43,003 | 933 |
43,003 | 34,743 |
43,003 | 34,780 |
43,003 | 2,117 |
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Gowalla Dataset
The Gowalla dataset, sourced from the Stanford Network Analysis Project (SNAP), contains user check-ins and social network information from the now-defunct location-based social networking platform Gowalla.
Key features:
- Check-in data: records of user check-ins at various locations with timestamps and geographical coordinates (latitude, longitude).
- Social graph: user relationships represented as a graph, where edges denote friendships between users.
- Temporal data: includes timestamps for all check-ins, enabling time-series analysis.
- Geographical scope: check-ins span locations worldwide, offering global coverage for geo-social analyses.
Columns:
- User ID: unique identifier for each user.
- Check-in time: timestamp of the check-in (YYYY-MM-DD HH:MM:SS format).
- Latitude: latitude coordinate of the check-in location.
- Longitude: longitude coordinate of the check-in location.
- Location ID: unique identifier for the location.
Use cases:
- Geo-social analysis: study how users interact with their physical environment and social networks.
- Location recommendation: build recommendation systems for venues or events based on user preferences and check-ins.
- Urban planning: analyze movement patterns for transportation and infrastructure planning.
- Graph learning: train machine learning models on social network structures.
Dataset size:
- Check-ins: approximately 6.4 million records.
- Users: around 107,000 users.
- Locations: over 1.2 million unique locations.
Licensing:
This dataset is distributed under a CC-BY-SA 4.0 license, requiring attribution and share-alike for derived works.
For more details, visit the SNAP dataset page.
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