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Social networks have played a crucial role of information channels for understanding our daily lives beyond communication tools. In particular, their coupling with geographic location has boosted the worth of social media to detect, track, and predicate dynamic events and situations in the real world. While the amounts of geo-tagged social media are apparently increasing at every moment, we have few framework to handle spatiotemporal changes and analyze their relationships. In this paper, wedoi:10.1145/2755492.2755498 dblp:conf/gis/KimONK14 fatcat:l4iwtezv3vh5lihtyojdij2egy