Models of Social Change and Social Stability, 7.5 credits

About the course

This course provides a critical in-depth overview of how models in mathematics and models of simulation can be used to model and analyze social change and social stability. The fact that simple models sometimes can cause dynamic processes that are difficult to predict will be focused in the course. Models and theories that will appear are diffusion models, neural networks, cellular automats, self-organizing critical systems, chaos models and dynamic network models. The possibilities and limitations connected to testing these models on empirical data will be discussed.

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