新兴技术跨界创新多层网络演化模型及其仿真

Evolutionary Model and Simulation of Multi-layer Network for Cross-border Innovation of Emerging Technologies

新兴技术快速发展,推动了数字制造、人工智能、互联网等新兴领域技术的交叉渗透,促进了技术跨界融合与企业跨界合作。本文基于企业在跨界创新过程中的社会合作关系、技术联结关系和知识联结关系,构建新兴技术跨界创新多层网络模型,采用仿真分析方法,研究演化过程中的网络结构特征和知识扩散增长规律。研究发现:不同网络层间连接概率下度分布呈现出单峰和幂律、单峰及双峰特征,平均聚类系数前期震荡波动,中期下降,后期趋于稳定状态,平均路径长度前期急剧增加,中期逐渐降低,最后趋于稳定状态。知识整合能力对知识扩散过程的影响不显著,知识共享程度和自主创新能力是决定企业长期保持知识优势的重要影响因素。

The rapid development of emerging technologies has promoted the cross-penetration of technologies in emerging fields such as digital manufacturing,artificial intelligence,and the Internet,and promoted the cross-border integration of technologies and cross-border cooperation of enterprises.Based on the social cooperation,technology connection and knowledge connection of enterprises in the process of cross-border innovation,this paper constructs a multi-layer network model of cross-border innovation of emerging technologies,and uses simulation methods to study the characteristics of network structure and the law of knowledge diffusion and growth in the evolution process.It is found that the degree distribution under different network layer connection probabilities presents unimodal and power law,unimodal and bimodal characteristics;The average clustering coefficient fluctuates in the early stage,decreases in the middle stage,and tends to be stable in the later stage;The average path length increases sharply in the early stage,decreases gradually in the middle stage,and finally becomes stabilized.Knowledge integration ability has no significant impact on the process of knowledge diffusion.The degree of knowledge sharing and independent innovation ability are important factors that determine the long-term and sustainable acquisition of knowledge advantages for enterprises.