Self-organization of knowledge economies

François Lafond

#2013-040

Suppose that homogenous agents fully consume their time to invent new ideas and learn ideas from their friends. If the social network is complete and agents pick friends and ideas of friends uniformly at random, the distribution of ideas’ popularity is an extension of the Yule-Simon distribution. It has a power-law tail, with an upward or downward curvature. For infinite population it converges to the Yule-Simon distribution. The power law is steeper when innovation is high. Diffusion follows S-shaped curves.

Keywords: innovation, diffusion, two-mode networks, cumulative advantage, quadratic attachment kernel, power law, Yule-Simon distribution, generalized hypergeometric distribution.

JEL classification: D83, D85, O31, O33

  


UNU-MERIT