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Ising-like agent-based technology diffusion model: adoption patterns vs. seeding strategies


  • Carlos E. Laciana
  • Santiago L. Rovere


The well-known Ising model used in statistical physics was adapted to a social dynamics context to simulate the adoption of a technological innovation. The model explicitly combines (a) an individual's perception of the advantages of an innovation and (b) social influence from members of the decision-maker's social network. The micro-level adoption dynamics are embedded into an agent-based model that allows exploration of macro-level patterns of technology diffusion throughout systems with different configurations (number and distributions of early adopters, social network topologies). In the present work we carry out many numerical simulations. We find that when the gap between the individual's perception of the options is high, the adoption speed increases if the dispersion of early adopters grows. Another test was based on changing the network topology by means of stochastic connections to a common opinion reference (hub), which resulted in an increment in the adoption speed. Finally, we performed a simulation of competition between options for both regular and small world networks.

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  • Carlos E. Laciana & Santiago L. Rovere, 2010. "Ising-like agent-based technology diffusion model: adoption patterns vs. seeding strategies," Papers 1011.3834,, revised Jan 2013.
  • Handle: RePEc:arx:papers:1011.3834

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    1. Juri Hinz & Alex Novikov, 2009. "On Fair Pricing of Emission-Related Derivatives," Research Paper Series 257, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Paul Leiby & Jonathan Rubin, 2001. "Intertemporal Permit Trading for the Control of Greenhouse Gas Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(3), pages 229-256, July.
    3. repec:wsi:ijtafx:v:12:y:2009:i:07:n:s021902490900552x is not listed on IDEAS
    4. René Aïd & Luciano Campi & Adrien Nguyen Huu & Nizar Touzi, 2009. "A Structural Risk-Neutral Model Of Electricity Prices," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(07), pages 925-947.
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