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Human mobility, social ties, and link prediction
2011
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11
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 records
doi:10.1145/2020408.2020581
dblp:conf/kdd/WangPSGB11
fatcat:wsln4i7vsvendorqzsnstgvnue