An agent based multi-optional model for the diffusion of innovations
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DOI: 10.1016/j.physa.2013.09.046
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- Laciana, C.E. & Gual, G. & Kalmus, D. & Oteiza-Aguirre, N. & Rovere, S.L., 2014. "Diffusion of two brands in competition: Cross-brand effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 104-115.
- Adrian Mallory & Martin Crapper & Rochelle H. Holm, 2019. "Agent-Based Modelling for Simulation-Based Design of Sustainable Faecal Sludge Management Systems," IJERPH, MDPI, vol. 16(7), pages 1-19, March.
- Koponen, I.T. & Kokkonen, T. & Nousiainen, M., 2017. "Modelling sociocognitive aspects of students’ learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 68-81.
- Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
- Neokosmidis, Ioannis & Avaritsiotis, Nikolaos & Ventoura, Zoe & Varoutas, Dimitris, 2015. "Assessment of the gap and (non-)Internet users evolution based on population biology dynamics," Telecommunications Policy, Elsevier, vol. 39(1), pages 14-37.
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Keywords
Product competition; Decision under uncertainty; Potts model; Heterogeneous population; Innovation diffusion;All these keywords.
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