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Strength of weak layers in cascading failures on multiplex networks: case of the international trade network

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  • Kyu-Min Lee
  • Kwang-Il Goh

Abstract

Many real-world complex systems across natural, social, and economical domains consist of manifold layers to form multiplex networks. The multiple network layers give rise to nonlinear effect for the emergent dynamics of systems. Especially, weak layers that can potentially play significant role in amplifying the vulnerability of multiplex networks might be shadowed in the aggregated single-layer network framework which indiscriminately accumulates all layers. Here we present a simple model of cascading failure on multiplex networks of weight-heterogeneous layers. By simulating the model on the multiplex network of international trades, we found that the multiplex model produces more catastrophic cascading failures which are the result of emergent collective effect of coupling layers, rather than the simple sum thereof. Therefore risks can be systematically underestimated in single-layer network analyses because the impact of weak layers can be overlooked. We anticipate that our simple theoretical study can contribute to further investigation and design of optimal risk-averse real-world complex systems.

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  • Kyu-Min Lee & Kwang-Il Goh, 2016. "Strength of weak layers in cascading failures on multiplex networks: case of the international trade network," Papers 1603.05181, arXiv.org, revised May 2016.
  • Handle: RePEc:arx:papers:1603.05181
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    References listed on IDEAS

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    Cited by:

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    2. Zhou, Xuanru & Zhang, Hua & Zheng, Shuxian & Xing, Wanli & Yang, Hanshi & Zhao, Yifan, 2023. "A study on the transmission of trade behavior of global nickel products from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 81(C).
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    5. Wang, Xingxing & Wang, Anjian & Zhong, Weiqiong & Zhu, Depeng & Wang, Chunhui, 2022. "Analysis of international nickel flow based on the industrial chain," Resources Policy, Elsevier, vol. 77(C).
    6. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    7. Hector Tzavellas, 2023. "A Multilayer View Of Systemic Importance And Aggregate Fluctuations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1023-1046, August.
    8. Wang, Chao & Huang, Xia & Hu, Xiaoqian & Zhao, Longfeng & Liu, Chao & Ghadimi, Pezhman, 2021. "Trade characteristics, competition patterns and COVID-19 related shock propagation in the global solar photovoltaic cell trade," Applied Energy, Elsevier, vol. 290(C).
    9. Shi, Qing & Sun, Xiaoqi & Xu, Man & Wang, Mengjiao, 2022. "The multiplex network structure of global cobalt industry chain," Resources Policy, Elsevier, vol. 76(C).
    10. Shao, Liuguo & Kou, Wenwen & Zhang, Hua, 2022. "The evolution of the global cobalt and lithium trade pattern and the impacts of the low-cobalt technology of lithium batteries based on multiplex network," Resources Policy, Elsevier, vol. 76(C).
    11. Liu, Yi & Wang, Jianliang, 2024. "Risk analysis and resilience assessment of China's oil imports after the Ukraine Crisis:A network-based dynamics model," Energy, Elsevier, vol. 299(C).
    12. Kiran Sharma & Anindya S. Chakrabarti & Anirban Chakraborti, 2018. "Multi-layered Network Structure: Relationship Between Financial and Macroeconomic Dynamics," Papers 1805.06829, arXiv.org, revised Mar 2019.
    13. Javier Garcia-Bernardo & Jan Fichtner & Eelke M. Heemskerk & Frank W. Takes, 2017. "Uncovering Offshore Financial Centers: Conduits and Sinks in the Global Corporate Ownership Network," Papers 1703.03016, arXiv.org, revised May 2017.

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