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By exploiting built-in sensors, mobile smartphone have become attractive options for large-scale sensing of human behavior as well as social interaction. In this paper, we present a new probabilistic model to analyze longitudinal dynamic social networks created by the physical proximity of people sensed continuously by the phone Bluetooth sensors. A new probabilistic model is proposed in order to jointly infer emergent grouping modes of the community together with their temporal context. Wedoi:10.1109/mdm.2011.18 dblp:conf/mdm/DoG11 fatcat:fzbs5hperbg3tljvhjg3tsekxa