Update README.md

README.md

@@ -1,11 +1,43 @@
 ---
 license: cc-by-sa-4.0
 tags:
-- graph-data
-- check-in-data
-- geo-social-data
+  - graph-data
+  - check-in-data
+  - geo-social-data
 pretty_name: Gowalla Dataset (from SNAP)
 size_categories:
-- 100K<n<1M
+  - 100K<n<1M
 ---
-# Gowalla Dataset
+
+# 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:
+1. **User ID**: unique identifier for each user.  
+2. **Check-in time**: timestamp of the check-in (YYYY-MM-DD HH:MM:SS format).  
+3. **Latitude**: latitude coordinate of the check-in location.  
+4. **Longitude**: longitude coordinate of the check-in location.  
+5. **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](https://snap.stanford.edu/data/loc-gowalla.html).