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International Conference on Complex Networks and Their Applications

COMPLEX NETWORKS 2019: Complex Networks and Their Applications VIII pp 645–655Cite as

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)

Abstract

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.

Keywords

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

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Acknowledgements

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.

Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, 16802, USA

    Susana Garcia, Caitlin Grady, Paniz Mohammadpour & Alfonso Mejia

  2. College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA

    Sarah Rajtmajer

  3. The Rock Ethics Institute, The Pennsylvania State University, University Park, USA

    Sarah Rajtmajer & Caitlin Grady

Authors
  1. Susana Garcia
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  2. Sarah Rajtmajer
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  3. Caitlin Grady
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  4. Paniz Mohammadpour
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  5. Alfonso Mejia
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Corresponding author

Correspondence to Sarah Rajtmajer .

Editor information

Editors and Affiliations

  1. University of Burgundy, Dijon Cedex, France

    Hocine Cherifi

  2. Università degli Studi di Milano, Milan, Italy

    Sabrina Gaito

  3. University of Aveiro, Aveiro, Portugal

    José Fernendo Mendes

  4. Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Esteban Moro

  5. Indiana University, Bloomington, IN, USA

    Prof. Luis Mateus Rocha

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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. https://doi.org/10.1007/978-3-030-36683-4_52

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