Facebook Data Science Team Examines Coordinated Migration

Aude Hofleitner, Ta Virot Chiraphadhanakul, and Bogdan State of the Facebook Data Science Team tapped into the social network’s wealth of information to examine what they call coordinated migration, when a significant number of users moved from one city to another, by analyzing aggregate, anonymized data on all users who list both their hometowns and current cities on their profiles.

Aude Hofleitner, Ta Virot Chiraphadhanakul, and Bogdan State of the Facebook Data Science Team tapped into the social network’s wealth of information to examine what they call coordinated migration, when a significant number of users moved from one city to another, by analyzing aggregate, anonymized data on all users who list both their hometowns and current cities on their profiles.

Their findings were outlined in a note on the Facebook Data Science page. Highlights included:

  • Rapidly urbanizing countries tend to be the sites of major destinations of coordinated migration, while large urban centers in occidental countries — such as San Francisco, New York, and Paris — are not coordinated migration destinations, since they attract people from all over the world.
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