分岔与分形视角下的集群知识网络动态演化机理研究
发布时间：2018-09-19 16:32
【摘要】：文章运用集群知识网络理论、混沌理论的分析方法,提出集群知识网络演化机理问题。认为在集群知识网络中存在分岔与分形现象,构建集群知识网络动态演化机理模型。通过数理模型和案例研究,认为集群知识网络沿着单体分岔、多系分岔、复制分形和变异分形4个阶段路径动态演化。
[Abstract]:In this paper, the evolution mechanism of cluster knowledge network is put forward by using the theory of cluster knowledge network and the analytical method of chaos theory. It is considered that there are bifurcation and fractal phenomena in cluster knowledge network, and the dynamic evolution mechanism model of cluster knowledge network is constructed. Through mathematical models and case studies, it is considered that the cluster knowledge network evolves dynamically along four stages: single bifurcation, multi-system bifurcation, replicating fractal and variant fractal.
【作者单位】： 河南工业大学管理学院;
【基金】：国家社会科学基金项目“制造业集群创新网络的共生演化机制研究”的成果,项目编号:17BGL038
【分类号】：G254
本文编号：2250696
[Abstract]:In this paper, the evolution mechanism of cluster knowledge network is put forward by using the theory of cluster knowledge network and the analytical method of chaos theory. It is considered that there are bifurcation and fractal phenomena in cluster knowledge network, and the dynamic evolution mechanism model of cluster knowledge network is constructed. Through mathematical models and case studies, it is considered that the cluster knowledge network evolves dynamically along four stages: single bifurcation, multi-system bifurcation, replicating fractal and variant fractal.
【作者单位】： 河南工业大学管理学院;
【基金】：国家社会科学基金项目“制造业集群创新网络的共生演化机制研究”的成果,项目编号:17BGL038
【分类号】：G254
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