期刊
BIG DATA
卷 10, 期 3, 页码 204-214出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/big.2020.0387
关键词
intelligent system; advanced equipment manufacturing; innovation network; evolution process; experimental simulation
资金
- Construction project of applied characteristic discipline in Hunan Province (Computer Science and Technology) [71771083, 72024064]
- National Natural Science Foundation of China [2019JJ70044]
- Provincial Natural Science Foundation of Hunan [20A298]
- Research Projects of Hunan Provincial Department of Education
This study conducted simulation experiments to demonstrate the evolution process of the innovation network in advanced equipment manufacturing, revealing different changes in clustering coefficient and average distance at different stages, but eventually stabilizing.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据