A novel knowledge-based multi-population framework for studying opinion dynamics of migrated individuals

Many people around the world migrate to other places for a variety of reasons. As a result of social collaboration and knowledge exchange, their opinions about a topic can change over time. In this research, we propose a multi-population framework to track the dynamics of the opinion of a migrated individual in different scenarios. Each population is represented by a weighted graph and is associated with a belief space, which is a knowledge repository that stores the normative knowledge of that population. We also define different metrics to measure the level of change in an individual's opinion after migration. In our model, the social influence of each person is dependent on their own neighbors' opinions and acceptance rate, as well as the norms of the origin and destination societies. The results show that our proposed framework can capture the opinion dynamics in various settings and scenarios.