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
    Two-mode networks
    Cumulative advantage
    Quadratic attachment kernel
    Power law
    Yule-simon distribution
    Generalized hypergeometric distribution
    JEL D83
    Copyright Holder UNU-MERIT
    Copyright Year 2013
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    Created: Wed, 11 Dec 2013, 17:15:28 JST