A quantification method of non-failure cascading spreading in a network of networks.
A quantification method of non-failure cascading spreading in a network of networks.
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DOI：
10.1063/5.0067479
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发表时间：
2021-12
期刊：
影响因子：
2.9
通讯作者：
Feng An;Sen Wu;Xiangyun Gao;H. Eugene Stanley;Jianxi Gao
中科院分区：
文献类型：
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作者：
Feng An;Sen Wu;Xiangyun Gao;H. Eugene Stanley;Jianxi Gao
社会经济网络中的级联传播过程比物理系统中的级联传播过程更为复杂。这些网络的多个节点和边增加了它们的结构复杂性和可恢复性，使系统能够失去部分功能，而不是完全失效。然而，社会和经济网络中的这些现象对现有的网络鲁棒性模型提出了挑战，其中节点要么处于功能状态，要么处于故障状态。本研究使用网络的网络（NoN）来模拟多种类型的节点和边缘。利用无故障级联过程来模拟节点的自适应性和可恢复性。本研究的主要贡献是提出了一个扩展模型，将非故障级联过程扩展到NoN，可以用于预测现实世界中的系统遭受特殊事件的损害。本研究的案例分析评估了2015 - 2016年原油贸易变化对各部门的影响程度。
The cascading spreading process in social and economic networks is more complicated than that in physical systems. These networks' multiple nodes and edges increase their structural complexity and recoverability, enabling the system to lose partial functionality rather than completely fail. However, these phenomena in social and economic networks introduce challenges to the existing network robustness models, where a node is either in a functional state or a failed state. This research uses a network of networks (NoN) to simulate multiple types of nodes and edges. A non-failure cascading process is utilized to model the nodes' self-adaptation and recoverability. The main contribution of this research is proposing a spreading model to extend the non-failure cascading process to the NoN, which can be used in predicting real-world system damage suffering from special events. The case study of this research evaluated the effect degree of crude oil trade changes on each sector from 2015 to 2016.