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• W2077276594 startingPage "2422" @default.
• W2077276594 abstract "Innovation diffusion of network goods determines direct network externalities that depress sales for long periods and delay full benefits. We model this effect through a multiplicative dynamic market potential driven by a latent individual threshold embedded in a special Cellular Automata representation. The corresponding mean field approximation of its aggregate version is a Riccati equation with a closed form solution. This allows the detection of a change-point time separating an incubation period from a subsequent take-off due to a collective threshold (critical mass). Weighted nonlinear least squares are the main inferential methodology. An application is analysed with reference to USA fax machine diffusion." @default.
• W2077276594 created "2016-06-24" @default.
• W2077276594 creator A5043623107 @default.
• W2077276594 creator A5051470070 @default.
• W2077276594 date "2010-06-01" @default.
• W2077276594 modified "2023-10-02" @default.
• W2077276594 title "Cellular Automata with network incubation in information technology diffusion" @default.
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• W2077276594 doi "https://doi.org/10.1016/j.physa.2010.02.007" @default.
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