Self-organization of knowledge economies

François Lafond

No 2013-040, MERIT Working Papers from United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

Abstract: Suppose that homogenous agents fully consume their time to invent new ideas andlearn 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 (search for similar items in EconPapers)
JEL-codes: D83 D85 O31 O33 (search for similar items in EconPapers)
Date: 2013-01-01
New Economics Papers: this item is included in nep-cdm, nep-ino and nep-knm
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Journal Article: Self-organization of knowledge economies (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:unm:unumer:2013040

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