Abstract.
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.
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JEL Classification:
D63, O30, R10
Corespondence to: Piergiuseppe Morone
Piergiuseppe Morone, Richard Taylor: The authors are grateful to Nick von Tunzelmann, Scott Moss, Robin Cowan and Ed Steinmueller for helpful comments in different stages of the work. The usual disclaimers apply.
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Morone, P., Taylor, R. Knowledge diffusion dynamics and network properties of face-to-face interactions. J. Evol. Econ. 14, 327–351 (2004). https://doi.org/10.1007/s00191-004-0211-2
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DOI: https://doi.org/10.1007/s00191-004-0211-2