相关实验视频
多层创新网络弹性:数字经济脆弱性评估框架
Hongjuan Zhang1,2, Haibing Liu1,2, Rongkai Chen3
1School of Management, Wuhan University of Science and Technology, Wuhan 430065, China.
iScience
|January 6, 2026
概括
创新网络对于技术进步至关重要. 这项研究揭示了知识网络在数字经济中比协作网络更有弹性,突出了保护知识的必要性,以保持系统稳定.
科学领域:
- 网络科学 网络科学
- 数字经济研究 数字经济研究
- 创新管理 创新管理
背景情况:
- 多层创新网络是技术进步的关键,但它们在数字经济中的弹性尚未得到充分研究.
- 了解网络的相互依赖性和脆弱性对于经济稳定至关重要.
研究的目的:
- 制定一个框架来评估多层创新网络的弹性.
- 分析中国数字经济中的相互依赖和颠覆情景.
- 在合的多层网络中识别级联漏洞机制.
主要方法:
- 构建连接的多层网络,代表创新系统.
- 实施四种综合攻击策略来模拟中断.
- 对级联故障传播和网络弹性模式的分析.
主要成果:
- 协作网络对有针对性的攻击具有显著的脆弱性.
- 知识网络表现出更高的弹性,特别是在成熟阶段.
- 知识网络中断会对整个生态系统产生严重的影响,与协作网络中断不同.
结论:
- 知识网络是创新系统中必不可少的整合机制.
- 保护关键的技术知识比维护弹性协作安排更为重要.
- 该研究推进了多层网络理论,并为数字经济脆弱性评估提供了实际见解.
相关概念视频
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
281
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
281
01:30Social Foundations of Self IV: Self in Digital Communication
166
Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
166
01:16Response Surface Methodology
598
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
598