Research on identification of key node enterprises of new energy vehicle network based on R&D cascading failures

ZHANG Yanlu, CHAO Zhuoyi, YANG Naiding, YANG Jiaqi

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (12) : 3997-4010.

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Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (12) : 3997-4010. DOI: 10.12011/SETP2023-0790

Research on identification of key node enterprises of new energy vehicle network based on R&D cascading failures

  • ZHANG Yanlu1, CHAO Zhuoyi2, YANG Naiding1, YANG Jiaqi1
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Abstract

Most existing studies evaluate node importance from the perspective of network topology, but ignore the impact of network dynamic characteristics on the node importance evaluation results. But the studies based on the perspective of network dynamics mainly focuse on the abstract networks to identify key nodes, and have some certain limitations to be applicated in real networks. Therefore, this paper identifies key node enterprises of the new energy vehicle research and development network based on the perspective of cascading failures. Firstly, this paper builds a real new energy vehicle research and development network by using new energy vehicle cooperation patent data. Then, a cascade failure model is proposed from three aspects: Defining the initial load of the node enterprise, determining the capacity of the node enterprise, and establishing load propagation rules. Next, numerical simulation method is used to reveal the cascade failure process and rules of the new energy vehicle R&D network under deliberate and random attack strategies. Finally, a simulation analysis of a real new energy vehicle research and development network is conducted to identify the key node enterprises of the new energy vehicle research and development network. The research results have important reference value for preventing large-scale cascading failures caused by the failure of some key node enterprises and ensuring the normal cooperative development of new energy vehicle node enterprises.

Key words

new energy vehicle R&D network / cascading failure / key node identification / numerical simulation

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ZHANG Yanlu , CHAO Zhuoyi , YANG Naiding , YANG Jiaqi. Research on identification of key node enterprises of new energy vehicle network based on R&D cascading failures. Systems Engineering - Theory & Practice, 2024, 44(12): 3997-4010 https://doi.org/10.12011/SETP2023-0790

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Funding

National Social Science Foundation of China (23AZD018);National Natural Science Foundation of China (71871182);General Program of Humanities and Social Sciences Foundation of Ministry of Education of China (20XJA630003)
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