Self-organization of knowledge economies
Lafond, François (2013). Self-organization of knowledge economies. UNU-MERIT.
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Author Lafond, François Title Self-organization of knowledge economies Publication Date 2013 Publisher UNU-MERIT Abstract 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. Keyword Innovation
Diffusion
Two-mode networks
Cumulative advantage
Quadratic attachment kernel
Power law
Yule-simon distribution
Generalized hypergeometric distributionJEL D83
D85
O31
O33Copyright Holder UNU-MERIT Copyright Year 2013 -
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