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Inferring the microscopic mechanisms of opinion dynamics using a kinetic Ising model
Kinetic Ising models are widely used to describe binary opinion dynamics, but their microscopic validity has rarely been tested empirically. Here, we infer the transition probabilities governing opinion updates from a year-long online social network and show that they are accurately described by an
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