系统仿真学报 ›› 2021, Vol. 33 ›› Issue (3): 591-603.doi: 10.16182/j.issn1004731x.joss.19-0556

• 仿真建模理论与方法 • 上一篇    下一篇

基于专利引文网络的技术演化网络模型与仿真分析

游鸽1, 郭昊1, 刘向2   

  1. 1.暨南大学 管理学院,广东 广州 510632;
    2.华中师范大学 信息管理学院,湖北 武汉 430079
  • 收稿日期:2019-10-16 修回日期:2020-04-11 出版日期:2021-03-18 发布日期:2021-03-18
  • 通讯作者: 刘向(1983-),男,博士,副教授,研究方向为知识管理与知识工程。E-mail:xiangliu@mail.ccnu.edu.cn
  • 作者简介:游鸽(1990-),男,博士,研究方向为复杂性科学。E-mail:374005361@qq.com
  • 基金资助:
    国家自然科学基金(71673106, 71303090)

Technology Evolution Network Model and Simulation Based on Patent Citation Network

You Ge1, Guo Hao1, Liu Xiang2   

  1. 1. School of Management, Jinan University, Guangzhou 510632, China;
    2. School of Information Management, Central China Normal University, Wuhan 430079, China
  • Received:2019-10-16 Revised:2020-04-11 Online:2021-03-18 Published:2021-03-18

摘要: 以专利引文网络为依托,利用复杂网络的方法,建立了技术演化网络模型,揭示了技术演化网络的拓扑结构、演化规则与动力。通过引入时间优先与适应度择优连接机制,模型考察了技术演化过程中时间因素与“适者生存”选择规律对网络结构演化的影响。研究结果表明技术演化网络具有无标度特征,该特征是技术累计过程中全局“适者生存”选择的结果;时间因素具有局部性影响,体现在技术创新与变革时具有较强的后发优势,这在一定程度上平抑了适应度择优对全局的影响。

关键词: 技术演化网络, 复杂网络, 幂律分布, 专利引文网络

Abstract: On the basis of on the patent citation network and complex networks, a technology evolution network model is constrcucted, which revealed the topology structure, evolution rules and dynamics of the technology evolution network. By introducing time and fitness preferential attachments mechanism, the effect of time factor and selection law of “survival of the fittest” on evolution of network structure during the technology evolution is studied. The results showed that the technology evolution network had the characteristic of scale-free, which is the result of global selection of “survival of the fittest” in the process of technology accumulation; The effect of time factor is partial and reflects strong latecomer advantage in technological innovation and change, which partly decreased the overall influence on fitness preferential.

Key words: technology evolution network, complex network, power-law distribution, patent citation network

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