基于双重扩散过程的创新孵化网络内知识扩散方选择策略研究被引量：8

Study on Object Selection Strategy of Knowledge Distribution in Innovation Incubation Network Based the Process of Knowledge Dual-Distribution

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摘要在创新孵化网络演化机制的基础上,描述了创新孵化网络内知识双重扩散过程;同时考虑网络关系边权演化和知识势差等因素,提出三种知识扩散方选择策略并进行模拟仿真。结果显示:具有无标度特征的创新孵化网络能够有效提升网络整体知识水平和知识均衡度;以知识势差为扩散准则的实用策略可暂时提高网络整体知识水平,但会降低知识均衡度;从长远来看,综合考虑知识势差和关系强度的融合策略是提高网络整体知识水平以及均衡度的有效策略。 Based on evolution mechanism of innovation incubation network, this paper describes the process of knowledge dual-distribution and puts forward three object selection strategy. Then the simulation experiment was done. The results show that： Firstly, innovation incubation network with scale-free characteristic can enhance knowledge level and equilibrium degree of whole network; Secondly, pragmatic strategy based on knowledge potential difference can enhance knowledge level temporarily, but increase the differentiation of knowledge in network;Thirdly, in the long run, confluent strategy considering knowledge potential difference and connection strength is effective to enhance knowledge level and equilibrium degree of whole network.

作者王国红周建林邢蕊

机构地区大连理工大学工商管理学院

出处《科学学与科学技术管理》 CSSCI 北大核心 2015年第4期105-114,共10页 Science of Science and Management of S.& T.

基金国家自然科学基金项目(71173027 71073014)

关键词创新孵化网络双重扩散过程知识扩散 innovation incubation network the process of dual-distribution knowledge distribution

分类号 F260 [经济管理—国民经济] F272.4 [经济管理—企业管理]

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