Swarm Data Analysis Report#
Swarm is a social application from 4Sq that relies on check-in. Users can check in and send photos to their friends at locations they are interested in.
This dataset provides check-in data and personal information data of corresponding check-in users within three city ranges, namely New York City (nyc), San Francisco (sfo), and Hong Kong (hk).
The check-in data for each city includes 8 fields: user ID, local/out of town, check-in location ID, location type, location type ID, location longitude and latitude, and check-in time.
The user data corresponding to check-in in each city includes 6 fields: user ID, local/out of town, male/female, number of check-in posts, number of photo posts, and number of friends.
As is well known, location information has enormous commercial value. This article only provides some preliminary organization and observation.
Lognormal distribution of clock-in
Factor Model of User Preferences
Distinguishing between local and foreign
Dowload：
Original Code（MATLAB，including realtime scripts, functions and the snapshot of workspace. A bit large.）