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Modeling and simulation of the cascading failure of R&D network considering the community structure

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  • Wang, Jingbei
  • Yang, Naiding
  • Zhang, Yanlu
  • Song, Yue

Abstract

Considering that network community might have a profound effect on the cascading failure of R&D network, we generate the weighted scale-free R&D network and quantify the network community through network modularity Q. Afterwards, we propose the cascading failure model of R&D network based on SIR-CA model, and analyze the special effects on the cascading failure of R&D network through numerical simulation. The simulation results show that network modularity Q has a U-shaped effect on the robustness of R&D network, there is a negative correlation between the delay effect and the robustness of R&D network. Additionally, we verify that overlapping firms have more significant influence than those firms with the same degree and K-shell on the robustness of R&D network. This paper reveals the law of cascading failure of R&D network considering the network community, which is of practical significance to enhance the robustness of R&D network, and enrich the theory of dynamics of the network community.

Suggested Citation

  • Wang, Jingbei & Yang, Naiding & Zhang, Yanlu & Song, Yue, 2019. "Modeling and simulation of the cascading failure of R&D network considering the community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 43-53.
    • Handle: RePEc:eee:phsmap:v:522:y:2019:i:c:p:43-53
    DOI: 10.1016/j.physa.2019.01.127
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    References listed on IDEAS

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    10. Wang, Jingbei & Yang, Naiding & Zhang, Yanlu & Song, Yue, 2018. "Development of the mitigation strategy against the schedule risks of the R&D project through controlling the cascading failure of the R&D network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 390-401.
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    Cited by:

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    2. Li, Ruimeng & Yang, Naiding & Yi, Hao & Jin, Na, 2023. "The robustness of complex product development projects under design change risk propagation with gray attack information," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

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