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The study of human activity patterns traditionally relies on the continuous tracking of user location. We approach the problem of activity pattern discovery from a new perspective which is rapidly gaining attention. Instead of actively sampling increasing volumes of sensor data, we explore the participatory sensing potential of multiple mobile social networks, on which users often disclose information about their location and the venues they visit. In this paper, we present automated techniquesdoi:10.1109/wowmom.2013.6583383 dblp:conf/wowmom/PianeseAKI13 fatcat:767wufx5mjahbh433fm4kgk22m