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Performance of a Multi-layer Commodity Flow Network in the United States Under Disturbance

Part of the Studies in Computational Intelligence book series (SCI,volume 882)


Network-based analyses have furthered global understanding of supply chain and commodity trade networks between countries. Much of the previous work in this area has focused on analyzing economic sectors separately, aggregating sectors neglecting inter-sectoral connectivity, or representing trade at a national scale losing intrastate connections and impact. We further previous work by constructing and analyzing the intrastate input-output multi-layer network of the United States commodity and service sectors. We subject the network to perturbations and find that the government services sector represents the most influential sector as it generates the most impact when shocked. Taking this sector as exemplar, we showcase how impact varies differentially across regions, and how impact compares to other measures of resilience.


  • Multi-layer
  • Supply chain
  • Input-output
  • Shock

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  • DOI: 10.1007/978-3-030-36683-4_52
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Authors would like to acknowledge Venkat Ashish Kumar Simhachalam for assistance with Fig. 1 and Tasnuva Mahjabin for assistance with Fig. 4. Drs. Rajtmajer and Grady gratefully acknowledge seed funding from the Rock Ethics Institute at The Pennsylvania State University.

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Correspondence to Sarah Rajtmajer .

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Garcia, S., Rajtmajer, S., Grady, C., Mohammadpour, P., Mejia, A. (2020). Performance of a Multi-layer Commodity Flow Network in the United States Under Disturbance. In: Cherifi, H., Gaito, S., Mendes, J., Moro, E., Rocha, L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 882. Springer, Cham.

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