An Empirical Study of Geographic User Activity Patterns in Foursquare

The authors present a large-scale study of user behavior in Foursquare, conducted on a dataset of about 700 thousand users that spans a period of more than 100 days. They analyze user checkin dynamics, demonstrating how it reveals meaningful spatio-temporal patterns and offers the opportunity to study both user mobility and urban spaces. The authors' aim is to inform on how scientific researchers could utilise data generated in Location-based Social Networks to attain a deeper understanding of human mobility and how developers may take advantage of such systems to enhance applications such as recommender systems.

Provided by: Association for the Advancement of Artificial Intelligence Topic: Mobility Date Added: Mar 2011 Format: PDF

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