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Our understanding of how individual mobility patterns shape and impact the social network is limited, but is essential for a deeper understanding of network dynamics and evolution. This question is largely unexplored, partly due to the difficulty in obtaining large-scale society-wide data that simultaneously capture the dynamical information on individual movements and social interactions. Here we address this challenge for the first time by tracking the trajectories and communication recordsdoi:10.1145/2020408.2020581 dblp:conf/kdd/WangPSGB11 fatcat:wsln4i7vsvendorqzsnstgvnue