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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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    1. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 617-646.
    2. Hanaki, Nobuyuki & Nakajima, Ryo & Ogura, Yoshiaki, 2010. "The dynamics of R&D network in the IT industry," Research Policy, Elsevier, vol. 39(3), pages 386-399, April.
    3. Zhang, Yanlu & Yang, Naiding, 2013. "Research on robustness of R&D network under cascading propagation of risk with gray attack information," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 1-8.
    4. Zhang, Huiling & Guan, Zhi-Hong & Li, Tao & Zhang, Xian-He & Zhang, Ding-Xue, 2013. "A stochastic SIR epidemic on scale-free network with community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 974-981.
    5. Michael J. Barber & Thomas Scherngell, 2013. "Is the European R&D Network Homogeneous? Distinguishing Relevant Network Communities Using Graph Theoretic and Spatial Interaction Modelling Approaches," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1283-1298, September.
    6. Gong, Yong-Wang & Song, Yu-Rong & Jiang, Guo-Ping, 2014. "Epidemic spreading in metapopulation networks with heterogeneous infection rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 208-218.
    7. 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.
    8. repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    9. repec:hal:wpspec:info:hdl:2441/f6h8764enu2lskk9p5487a6cm is not listed on IDEAS
    10. Ricarda Bouncken & Boris Plüschke & Robin Pesch & Sascha Kraus, 2016. "Entrepreneurial orientation in vertical alliances: joint product innovation and learning from allies," Review of Managerial Science, Springer, vol. 10(2), pages 381-409, March.
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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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