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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.
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.