Arts, Humanities, and Complex Networks

Pablo Amster

Stylistic Evolution in Networks: Delayed Dynamics in Style Emergence

We simulate the evolution of styles in a system of interacting agents. Our motivation is to study the emergence of popular music genres such as tango or jazz. In our model, style is represented by a real number in the range 0–10. We assume that given a network of interacting agents, each agent assimilates features

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