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Modeling and predicting human behaviors, such as the activity level and intensity, is the key to prevent the cascades of obesity, and help spread wellness and healthy behavior in a social network. In this work, we propose a Socialized Gaussian Process (SGP) for socialized human behavior modeling. In the proposed SGP model, we naturally incorporates human's personal behavior factor and social correlation factor into a unified model, where basic Gaussian Process model is leveraged to capturedoi:10.1109/icdm.2012.94 dblp:conf/icdm/ShenJDCSPK12 fatcat:mujupy434jf4vn4i6rfay22tdu