The papers in this special section focus on network science for high confidence cyber-physical systems (CPS) Here CPS refers to the engineered systems that can seamlessly integrate the physical world with the cyber world via advanced computation and communication capabilities. To enable high-confidence CPS for achieving better benefits as well as supporting emerging applications, network science-based theories and methodologies are needed to cope with the ever-growing complexity of smart CPS, to predict the system behaviors, and to model the deep inter-dependencies among CPS and the natural world. The major objective of this special section is to exploit various network science techniques such as modeling, analysis, mining, visualization, and optimization to advance the science of supporting high-confidence CPS for greater assurances of security, safety, scalability, efficiency, and reliability. These papers bring a timely and important research topic. The challenges and opportunities of applying network science approaches to high-confidence CPS are profound and far-reaching.

中文翻译：

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客座社论介绍高​​可信度网络物理系统网络科学特别部分

此特殊部分中的论文着重于高可信度网络物理系统（CPS）的网络科学。这里的CPS是指可以通过先进的计算和通信功能将物理世界与网络世界无缝集成的工程系统。为了使高信任度的CPS能够获得更好的收益并支持新兴应用，需要基于网络科学的理论和方法来应对智能CPS日益增长的复杂性，预测系统行为并为深层互连建模。 -CPS与自然世界之间的依赖关系。本特殊部分的主要目的是利用各种网络科学技术，例如建模，分析，挖掘，可视化和优化，以推动支持高可信度CPS的科学发展，从而进一步确保安全性，安全性，可伸缩性，效率和可靠性。这些论文带来了及时而重要的研究主题。将网络科学方法应用于高信度CPS的挑战和机遇是深远而深远的。