Studies in Science of Science ›› 2018, Vol. 36 ›› Issue (7): 1294-1304.

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Collaborative Innovation Network Evolution Model and Simulation: Based on Analogy DNA Translation Processes

  

  • Received:2017-06-27 Revised:2018-01-09 Online:2018-07-15 Published:2018-07-25

协同创新网络演化模型及仿真研究--基于类DNA翻译过程

方炜1,2,王莉丽3   

  1. 1. 陕西省军民融合发展协同创新研究中心
    2. 西北工业大学
    3. 西北工业大学管理学院
  • 通讯作者: 方炜
  • 基金资助:

    国家自然科学基金项目;西北工业大学研究生创意创新种子基金重点项目

Abstract: Based on integrating the fundamental attribute and the unique property of the collaborative innovation network, this paper establishes a collaborative innovation network analogy DNA translation model through depicting external stimulus conversion progresses and behaviors of network heterogeneous agents with taking heterogeneous agents as network elements and regarding the stimulus-response mechanism as the network dynamic evolution mechanism. Using system simulation method, we analyzeget gradually into our founding about network topology structure varying rules and the interactions among structure varying rules, knowledge factors and network agents elements from multi-perspectives of the evolutionary law of the collaborative innovation network topology structure, the coupling evolution phenomenon of the knowledge and the network topology structure, distinct roles that agents play in the network and relationship between the agents’ openness and the knowledge flow efficiency. We find that: the phenomenon of small world emergences more than once through the evolution of collaborative innovation network, whose degrees and reasons are also distinctive; there exists coupling evolution between the technological knowledge and the network structure; the collaborative innovation network always be oriented towards competitive industries; the agents’ openness has an essential influence on the lifting range of the technological knowledge flow efficiency. It will propose the performance of the collaborative innovation if the subject position of industries and the agents openness degree can be strengthened during the progress of the technology creation.

摘要: 在综合协同创新网络基本属性和独有特质的基础上,通过刻画外界刺激转变过程和网络异质主体行为,构建出以异质性主体为网络要素、以刺激-反应机制为演化机理的协同创新网络类DNA翻译过程模型。运用系统仿真方法,分析了从协同创新网络的拓扑结构变动规律,知识元素和网络拓扑结构的耦合演化关系,网络异质主体的角色作用及主体开放程度与知识流动效率的关系等多个角度渐次深入地分析了协同创新网络演化过程中网络结构变动特点及其与知识元素、主体要素间深层次地交互作用关系。结果表明:协同创新网络发展过程中会多次涌现小世界特性,但程度、原因不尽相同;技术知识和网络结构存在协同演化现象;强势企业始终是协同创新网络的主导;主体开放程度对技术知识流动效率提升幅度有很大影响。强化企业在技术创新中的主体地位,并增强异质性主体间的开放程度,是提高协同创新绩效的有力保障。