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Modeling diffusion of innovations with probabilistic cellular automata

Nino Boccara·Henryk Fuks
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Abstract

We present a family of one-dimensional cellular automata modeling the diffusion of an innovation in a population. Starting from simple deterministic rules, we construct models parameterized by the interaction range and exhibiting a second-order phase transition. We show that the number of individuals who eventually keep adopting the innovation strongly depends on connectivity between individuals.

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Nino Boccara, Henryk Fuks. 1997-05-14. Modeling diffusion of innovations with probabilistic cellular automata. https://doi.org/10.1007/978-94-015-9153-9_9

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