Interacting branching process as a Simple model of innovation

Vishal Sood, Mylene Mathieu, Amer Shreim, Peter Grassberger, Maya Paczuski

10 Citations (Scopus)

Abstract

We describe innovation in terms of a generalized branching process. Each new invention pairs with any existing one to produce a number of offspring, which is Poisson distributed with mean p. Existing inventions die with probability p/τ at each generation. In contrast with mean field results, no phase transition occurs; the chance for survival is finite for all p>0. For τ=∞, surviving processes exhibit a bottleneck before exploding superexponentially-a growth consistent with a law of accelerating returns. This behavior persists for finite τ. We analyze, in detail, the asymptotic behavior as p→0.

Original languageEnglish
JournalPhysical Review Letters
Volume105
Issue number17
Pages (from-to)178701
Number of pages4
ISSN0031-9007
DOIs
Publication statusPublished - 18 Oct 2010

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