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Sadilek and colleagues turn their target's social network into a predictive model called a dynamic Bayesian network. At each point in time, the nodes in the target person's network consist of their friends' locations, day of the week and the time, and information from these nodes determines the target's most likely location. Sadilek can also feed in any existing information about the person's whereabouts to help improve the model's accuracy.
