A Foursquare dataset of 22,809,624 check-ins, 114,324 users, 3,820,891 venues, collected by Yang et al. via Foursquare API (2012–2014). Each record contains check-in timestamps, venue IDs, GPS coordinates, venue categories, friendship edges. One of the largest public Foursquare datasets with both check-in histories and social networks. Suitable for location-based social network analysis, user mobility, POI recommendation, community detection.
A RoadNet dataset of 1,921,660 roads, collected by Network Repository. Each record contains road intersections. Texas road network. Suitable for infrastructure analysis, network science.
A Brightkite (location-based social network) dataset of 58,228 users, 214,078 friendship edges, and 4.49M check-ins, collected by Cho et al. via Brightkite API (2008-2010). Each record contains undirected friendship edges, check-in records (timestamp, latitude, longitude, location_id). The dataset is notable for its location-based social network with rich spatiotemporal check-in data for mobility research. Intended for research into human mobility analysis, location-based social networks, friendship prediction, and urban computing.
A OpenFlights.org airport route database dataset of 3,425 nodes and 37,595 edges, collected by OpenFlights.org. Each record contains directed: True, weighted: True. Directed network of airports connected by flight routes — nodes are airports, edges are direct routes.. Suitable for transportation network analysis, network robustness, hub detection.
A Chicago regional road network (TNTP benchmark) dataset of 1,467 nodes and 1,298 edges, collected by Transportation Networks for Research (TNTP). Each record contains directed: False, weighted: False. Road network of the Chicago metropolitan area — classic transportation network benchmark.. Suitable for transportation network analysis, routing algorithms, network flow.
A MIT Media Lab (mobile phone Bluetooth proximity sensing) dataset of 96 nodes and 2,539 edges, collected by Nathan Eagle & Alex Pentland via mobile phone study. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bluetooth proximity contact network of 100 MIT students and faculty over 9 months. One of the earliest large-scale mobile sensing datasets, with temporal edges capturing when people were physically near each other.. Suitable for temporal network analysis, proximity sensing, community detection, mobility.
Foursquare
Brightkite