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The winner takes it all—Competitiveness of single nodes in globalized supply networks

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  • Chengyuan Han
  • Dirk Witthaut
  • Marc Timme
  • Malte Schröder

Abstract

Quantifying the importance and power of individual nodes depending on their position in socio-economic networks constitutes a problem across a variety of applications. Examples include the reach of individuals in (online) social networks, the importance of individual banks or loans in financial networks, the relevance of individual companies in supply networks, and the role of traffic hubs in transport networks. Which features characterize the importance of a node in a trade network during the emergence of a globalized, connected market? Here we analyze a model that maps the evolution of global connectivity in a supply network to a percolation problem. In particular, we focus on the influence of topological features of the node within the underlying transport network. Our results reveal that an advantageous position with respect to different length scales determines the competitiveness of a node at different stages of the percolation process and depending on the speed of the cluster growth.

Suggested Citation

  • Chengyuan Han & Dirk Witthaut & Marc Timme & Malte Schröder, 2019. "The winner takes it all—Competitiveness of single nodes in globalized supply networks," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-13, November.
  • Handle: RePEc:plo:pone00:0225346
    DOI: 10.1371/journal.pone.0225346
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    References listed on IDEAS

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    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    3. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    4. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    5. Watts, Alison, 2001. "A Dynamic Model of Network Formation," Games and Economic Behavior, Elsevier, vol. 34(2), pages 331-341, February.
    6. Brousseau Eric & Penard Thierry, 2007. "The Economics of Digital Business Models: A Framework for Analyzing the Economics of Platforms," Review of Network Economics, De Gruyter, vol. 6(2), pages 1-34, June.
    7. Carlo Piccardi & Lucia Tajoli, 2018. "Complexity, centralization, and fragility in economic networks," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-13, November.
    8. Dennie van Dolder & Vincent Buskens, 2014. "Individual Choices in Dynamic Networks: An Experiment on Social Preferences," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-16, April.
    9. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331.
    10. repec:dau:papers:123456789/7127 is not listed on IDEAS
    11. Jackson, Matthew O. & Watts, Alison, 2002. "The Evolution of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 106(2), pages 265-295, October.
    12. Atabati, Omid & Farzad, Babak, 2014. "A strategic model for network formation," MPRA Paper 62529, University Library of Munich, Germany.
    13. Editors The, 2007. "From the Editors," Basic Income Studies, De Gruyter, vol. 2(1), pages 1-5, June.
    Full references (including those not matched with items on IDEAS)

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