Higher-Order Rewiring Strategy for Enhancing Robustness of Multiplex Aviation Networks

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Dongming Fan;Meng Liu;Xingshuo Hai;Yi Ren;Qiang Feng
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Abstract

Aviation networks consist of networks of flight services provided by numerous airlines and are represented in the form of multiplex networks composed of a set of nodes, multiple layers of links, and coupling node relationships across all layers. However, multiplex aviation networks (MANs) are vulnerable to disturbances due to potential cascading failures. Thus, the robustness of MANs must be maintained. Previous studies on the robustness of MANs have mainly focused on the pairwise interactions between two nodes, which are insufficient for characterizing the dynamic processes of actual MANs. In addition, current cascading failure models are not adequate for MANs, as flow must be redistributed within multiplex networks rather than to nearby airports. To solve these issues, this study developed a topology model of MANs and introduced a model of node congestion to simulate the cascading failure process. Given the robustness assessment of MANs under intentional attacks, numerous analyses of higher-order interactions in networks are conducted. A higher-order cycle structure rewiring strategy is proposed to enhance the dynamic interaction among the layers and further improve the robustness of the MANs. Extensive experiments on synthetic and actual EU-Air multiplex networks are presented to illustrate the superiority of the proposed approach over state-of-the-art algorithms in improving the robustness of MANs.
增强复用航空网络鲁棒性的高阶重布线策略
航空网络由众多航空公司提供的飞行服务网络组成,以多路复用网络的形式呈现,由一组节点、多层链接和跨所有层的耦合节点关系组成。然而,多路复用航空网络(MAN)很容易因潜在的级联故障而受到干扰。因此,必须保持城域网的稳健性。以往对城域网鲁棒性的研究主要集中在两个节点之间的成对交互上,这不足以描述实际城域网的动态过程。此外,目前的级联故障模型也不适合城域网,因为流量必须在多路复用网络内重新分配,而不是分配到附近的机场。为解决这些问题,本研究建立了城域网拓扑模型,并引入节点拥塞模型来模拟级联故障过程。鉴于城域网在蓄意攻击下的鲁棒性评估,对网络中的高阶交互作用进行了大量分析。提出了一种高阶循环结构重布线策略,以增强各层之间的动态交互,进一步提高城域网的鲁棒性。在合成和实际的欧盟航空多路复用网络上进行了广泛的实验,以说明所提出的方法在提高城域网鲁棒性方面优于最先进的算法。
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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