Knowledge diffusion dynamics and network properties of face-to-face interactions
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This paper aims to understand some of the mechanisms which dominate the phenomenon of knowledge diffusion in the process that is called ‘interactive learning’. We examine how knowledge spreads in a network in which agents interact by word of mouth. The social network is structured as a network graph consisting of agents (vertices) and connections (edges) and is situated on a wrapped cellular automata grid forming a torus. The target of this simulation is to test whether knowledge diffuses in a homogeneous way or whether it follows some biased path towards convergence or divergence.
Keywords:Diffusion Inequality Knowledge Network Small world
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