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Location-based Mobile Social Networks (MSNs) are becoming increasingly popular given the success of Online Social Networks (OSNs), such as Facebook and MySpace, and recent availability of GPS-embedded mobile platforms, such as Apple iPhones and Google Android phones. MSNs extend existing OSNs by allowing a user to know where her friends are and to meet new people nearby who share her interests. There are few studies, however, on how users are connected through these emerging MSNs. In this paper, the authors present analysis results of a commercial MSN for which the authors applied the community-finding algorithm on geographic graphs of user movements and identified geographic characteristics of different locations.
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