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Inspired by the well-known microscopic models of Brownian particles and social-force model, this project presents a force-based method to characterize social groups and opinion exchange in collective behavior of many individual units. The problem is complex because opinions and actions are described as different features for each individual, and opinions interact and shape action with a time delay. The social topology among individuals is described by a set of matrices, which provide quantitative measures of their social relationship. Opinion exchange is integrated in context of their social interaction.
Features
- Complex system of social behavior and opinion dynamics
- Langevin equation with time-varying egress field
- Agent-based simulation of social interaction and adaption to the environment
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