Business School of Central South University, Changsha, China.
Hunan University of Humanities, Science and Technology, Loudi, China.
Big Data. 2022 Jun;10(3):204-214. doi: 10.1089/big.2020.0387. Epub 2021 Nov 9.
With the widespread application of intelligent systems in major industries, the traditional equipment manufacturing industry has gradually shifted to advanced equipment manufacturing. The innovation network of an industry directly affects the innovation capability of the industry, so the research of innovation network has always been the focus of attention. However, there are few researches on the innovation network of advanced equipment manufacturing industry, so this article has launched an in-depth study on it. First, it analyzes the basic geometric characteristics of the innovation network. Then, based on the small-world network model, an evolution model of the advanced equipment manufacturing innovation network was created, and simulation experiments were performed on the evolution model. The experimental results show that the clustering coefficient and the average distance showed different changes in different stages, but in the end they all gradually stabilized. The clustering coefficient was 0.484, the average distance was 1.854, and the degree of small cosmos was 0.497. This shows that the innovation network evolution model established in this study can reveal the evolution process of the innovation network of advanced equipment manufacturing through simulation experiments.
随着智能系统在各大行业中的广泛应用，传统的设备制造业逐渐向先进的设备制造业转型。一个行业的创新网络直接影响着该行业的创新能力，因此，创新网络的研究一直是关注的焦点。然而，对于先进设备制造业的创新网络研究较少，因此本文对此进行了深入研究。首先，分析了创新网络的基本几何特征。然后，基于小世界网络模型，创建了先进设备制造创新网络的演化模型，并对演化模型进行了仿真实验。实验结果表明，聚类系数和平均距离在不同阶段呈现出不同的变化，但最终都逐渐趋于稳定。聚类系数为 0.484，平均距离为 1.854，小宇宙度为 0.497。这表明，本研究建立的创新网络演化模型可以通过仿真实验揭示先进设备制造业创新网络的演化过程。
