LEARNING FROM CUSTOMERS AND COMMUNITY
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without analyzing the purposes behind these human movements. By
including spatiotemporal dimensions and activity categories (purposes)
into analyses, analysts can discover more realistic and detailed descrip-
tions of human mobility dynamics.
Researchers at Purdue University (Hasan et al. 2013) used a large data-
set of Twitter posts to analyze urban human mobility patterns. Twitter
users can post short messages known as tweets that are attached with
the corresponding geolocations when users grant permission. In addition
to posting status messages, Twitter allows its users to post statuses from
third-party check-in services (e.g., Foursquare). The researchers used a
large- ...