论文部分内容阅读
为探讨知识网络知识流动的扩散效应,文章引入信任系数、关系强度及边界跨界者属性等重要影响参数,构建了双阶段扩散的知识流动模型。数理建模与仿真研究发现:知识网络知识流动呈现由线形增长向指数式增长模式的演变,信任系数显著正向影响知识流动,稳定的弱关系更有利于知识网络知识流动,边界跨越者属性显著正向影响知识链间知识流动。
In order to explore the diffusion effect of knowledge flow in knowledge networks, this paper introduces important influence parameters such as trust coefficient, relationship strength and boundary cross-boundary attributes, and constructs a two-phase diffusion knowledge flow model. The results of mathematical modeling and simulation show that the knowledge flow in knowledge network evolves from the linear growth to the exponential growth mode, and the trust coefficient significantly influences the knowledge flow in a positive and negative way, which is more conducive to the knowledge flow in the knowledge network. Positive influence knowledge flow between knowledge chain.