The evolution and robustness analysis of global soybean trade network

Jinlong Ma (), Pengfei Zhao (), Jiale Feng (), Huawei Pang (), Mingwei Cai and Yongbin Zhao ()
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Jinlong Ma: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Pengfei Zhao: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Jiale Feng: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Huawei Pang: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Mingwei Cai: School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China
Yongbin Zhao: School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, P. R. China

International Journal of Modern Physics C (IJMPC), 2024, vol. 35, issue 10, 1-13

Abstract: In recent years, the frequent occurrence of extreme weather and national conflicts has highlighted the necessity of enhancing the robustness of the grain trade network. In this paper, we study the evolution of major trading countries, and the network robustness under random and different attack strategies. The results show that the heterogeneity of the Global Soybean Trade Network (GSTN) and trade connections among countries are increasing. The soybean trade network has strong resistance to random attacks, while subjected to targeted attacks, the stability of the network is significantly affected and damaged.

Keywords: Complex network; soybean trade; network robustness; targeted attack (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S0129183124501237

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