Innovation Diffusion Modeling: The Deterministic, Stochastic and Chaotic Case

Christos H. Skiadas; Charilaos Skiadas

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Innovation Diffusion Modeling: The Deterministic, Stochastic and Chaotic Case

机译：创新扩散建模：确定性，随机和混沌情况

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The field of innovation diffusion modeling showed a tremendous growth process during the last decades. Numerous qualitative and quantitative studies have been presented followed by significant applications in various scientific fields. This review paper explores the main quantitative developments on innovation diffusion and the gradual progress from the original deterministic models to their stochastic and chaotic alternatives. Related applications are presented.

机译：在过去的几十年中，创新扩散建模领域显示出巨大的增长过程。已经提出了许多定性和定量研究，随后在各个科学领域得到了重要的应用。这篇综述文章探讨了创新扩散的主要定量发展以及从最初的确定性模型到它们的随机和混沌替代方案的逐步发展。介绍了相关的应用程序。

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《Nonlinear dynamics, psychology and life sciences》 |2011年第2期|p.285-305|共21页
作者
Christos H. Skiadas; Charilaos Skiadas;
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作者单位

Technical University of Crete, Chania, Greece 6 Vyzantiou str, Nea Penteli, Attiki, Greece;

Hanover College, Indiana, USA;

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正文语种 eng
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关键词
innovation diffusion; deterministic; stochastic; chaotic;

机译：创新扩散;确定性随机;混乱的;

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Innovation Diffusion Modeling: The Deterministic, Stochastic and Chaotic Case

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