Persistent collaboration as a structural signature of scientific resilience

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ID: 314205
2026
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Abstract
Abstract Scientific progress today is increasingly realized through collaboration. Recent global crises and shifting geopolitical and funding landscapes have shown that collaboration is not immune to shocks. These disturbances call for a deeper examination of the resilience of science, specifically how the scientific community sustains its functionality and collaborative output amid potential shocks and failure. In this study, we conceptualize resilience as a structural property of scientific collaboration and quantify it using an interpretable, network-theoretic measure. Using a large-scale bibliographic dataset, we construct coauthorship networks across multiple disciplines from 1985 to 2014 and perform stress-test experiments that simulate stylized perturbations to identify the structural elements that support system resilience. Our findings show that discipline-level resilience is positively associated with higher collaboration intensity and, more strongly, with greater variance in scientists’ collaboration outcomes. Moreover, we find that persistent collaborations–stable and strong collaborations between scientists–play a central role in fostering resilient network structures across fields; they comprise only a small share of links yet are disproportionately concentrated among scientists in the top decile of productivity. Overall, this study offers a network-based structure framework for understanding the structural resilience of scientific collaboration and implies the important role of persistent collaboration in supporting that resilience.
Reference Key
openalex_W7161897661 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hong Chen, Yi Bu, Zhong Lu, Caifan Du, Eric T. Meyer, Ying Ding, Jianxi Gao
Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag169
URL
https://doi.org/10.1093/pnasnexus/pgag169
Keywords Keywords not found

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