Robustness with adaptation. Ownership networks of multinationals through COVID-19

Charlie Joyez

Network Science2025https://doi.org/10.1017/nws.2025.10020article
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What the paper says

We study how COVID-19 affected the ownership co-location network of French multinationals over 2012–2022. Using INSEE’s LiFi, we build annual country-industry co-location networks and assess robustness via topology (density, centralization, assortativity, and clustering) and edge survival (Weighted Jaccard). We then test for post-shock shifts in the determinants of dyadic co-location with multiple regression quadratic assignment procedure. Three results emerge. First, the network’s core is robust: topology shows no discontinuity and centrality persists. Second, adaptation is continuous at the margin: around one-third of edges rewire, concentrated in the periphery while core ties endure. Third, after 2020 the determinants of tie weights change, with a reduced role for gravity-like factors and greater cross-sector rebalancing. Thus the system is structurally robust with active peripheral adjustment. Rather than strict resilience in the sense of a return to the pre-COVID configuration, we observe durable strategic reweighting.

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https://doi.org/https://doi.org/10.1017/nws.2025.10020

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@article{charlie2025,
  title        = {{Robustness with adaptation. Ownership networks of multinationals through COVID-19}},
  author       = {Charlie Joyez},
  journal      = {Network Science},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1017/nws.2025.10020},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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