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Multi-Agent Based Simulation to Explore the Dynamics in the Diffusion of Innovation Phenomenon

The diffusion of innovation theory, presented by Everett Rogers, provides a classification of the individuals in a social system related to how long an innovation takes to spread into the system. Also, his work describes how people form clusters based on the homophily concept. This paper brings two hypotheses for the diffusion of innovation and puts them into test using a multiagent based simulation. Also, the Swarm multi-agent based framework is used to implement the simulations. Rogers' theory is briefly presented as well as concepts from the multi-agent based simulation area. Finally, the simulation and its results are shown.