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创新网络中知识协同演化机理模型及计算实验分析
引用本文:杨坤,吴金玉,胡斌.创新网络中知识协同演化机理模型及计算实验分析[J].科技进步与对策,2020,37(8):124-133.
作者姓名:杨坤  吴金玉  胡斌
作者单位:(上海工程技术大学,上海 201620)
摘    要:基于创新网络节点间共生关系分类以及知识协同过程的熵变理论,以Lotka-Volterra模型为基础,将序参量指标作为调节变量,构建创新网络节点间知识协同过程机制模型;采用赋值法和控制变量法,并借助MATLAB平台对模型进行计算实验分析。结果表明:创新网络知识产出水平受到节点自然增长率、节点间协同意愿指数、节点间竞争指数、节点知识熵、节点结构熵等5个因素的影响;在节点处于不同共生关系时,即使同一影响因素,对最终知识创新产出水平的影响也不一致。

关 键 词:创新网络  知识协同  共生理论  Lotka-Volterra模型  计算实验  
收稿时间:2019-10-31

Model and Computational Experiment Researchon the Evolution Mechanism of Knowledge Collaboration in Innovation Networks
Yang Kun,Wu Jinyu,Hu Bin.Model and Computational Experiment Researchon the Evolution Mechanism of Knowledge Collaboration in Innovation Networks[J].Science & Technology Progress and Policy,2020,37(8):124-133.
Authors:Yang Kun  Wu Jinyu  Hu Bin
Institution:(Shanghai University of Engineering and Technology,Shanghai 201620,China)
Abstract:Based on the symbiotic relationship classification between nodes in the innovation network,the entropy change theory,as well as the Lotka-Volterra model,construct the process mechanism model of knowledge collaboration among the nodes in innovation networks.Then,the model is analyzed by the MATLAB platform using the assignment method and the control variable method.The results show that the knowledge output level of the innovation network is affected by the following five factors: the natural growth rate of nodes,the cooperative willingness index between nodes,the competition index between nodes,the knowledge entropy of nodes,and the entropy of nodes.And the same factor have an inconsistent impact on the final level of knowledge innovation output when the nodes in different symbiotic relationships.
Keywords:Innovation Networks  Knowledge Collaboration  Symbiosis Theory  Lotka-Volterra Model  Computational Experiment  
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