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    Tracking Co-evolution of Behavior and Relationships with Mobile Phones

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    The co-evolution of social relationships and individual behavior in time and space has important implications, but is poorly understood because of the difficulty of closely tracking the everyday life of a complete community. We offer evidence that relationships and behavior co-evolve in a student dormitory, based on monthly surveys and location tracking through resident cellular phones over a period of nine months. We demonstrate that a Markov jump process could capture the co-evolution in terms of the rates at which residents visit places and friends. Our co-evolution model will be useful in bridging sensor networks data and organizational dynamics theories, simulating different ways to shape behavior and relationships, and turning mobile phone data into data products

    Causal Modelling of Personality Traits: Extraversion and Locus of Control

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    This work contributes to the task of automatically analyzing people’s personality during social interaction by using acoustic and visual features. We focus on two personality traits: Extraversion, one of the Big Five dimensions, and the Locus of Control and submit them to two causal Bayesian models that differ according to whether they incorporate the effect of the context (other people’s behaviour) on the target’s behaviour. The experiment performed shows that for the Extraversion trait the causal model whereby the target’s behaviour is affected by both his/her personality and the parties behaviour performs much better than the simpler one that only considers the relationships between personality and the target’s behaviour. Nothing similar is found for the Locus of Control, confirming psychology studies that maintain that the latter trait’s behavioural manifestation is verbal rather than non-verbal
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