<p>This study examines the evolution of resilience in the international scientific collaboration network in strategic management from 1980 to 2024. Using bibliometric data from core journals, country-level collaboration networks are constructed for five-year segments. Resilience is assessed through a percolation-based simulation framework, modeling targeted removals of countries based on their betweenness. Network response is evaluated using three complementary indicators: integrated structural robustness, the empirical percolation threshold, and efficiency retention based on weighted global efficiency. The results reveal pronounced temporal reorganization. Early networks exhibit moderate-to-low robustness, low fragmentation thresholds, and rapid efficiency loss, indicating strong dependence on a limited set of structurally central countries. From the mid-2000s onward, the network demonstrates substantially higher robustness, increased tolerance to targeted disruption, and better preservation of efficient collaboration pathways. These changes reflect not merely network growth, but qualitative shifts toward more redundant and distributed collaboration structures. By tracing the joint evolution of robustness, critical vulnerability, and functional efficiency, the study demonstrates that resilience in scientific collaboration networks is neither monolithic nor synchronous across dimensions. These findings contribute to scientometrics by clarifying how different aspects of resilience co-evolve over time and by providing a longitudinal perspective on the structural maturation of international collaboration in this discipline.</p>

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Evolving resilience in global scientific collaboration networks: evidence from strategic management

  • Guillermo Armando Ronda-Pupo

摘要

This study examines the evolution of resilience in the international scientific collaboration network in strategic management from 1980 to 2024. Using bibliometric data from core journals, country-level collaboration networks are constructed for five-year segments. Resilience is assessed through a percolation-based simulation framework, modeling targeted removals of countries based on their betweenness. Network response is evaluated using three complementary indicators: integrated structural robustness, the empirical percolation threshold, and efficiency retention based on weighted global efficiency. The results reveal pronounced temporal reorganization. Early networks exhibit moderate-to-low robustness, low fragmentation thresholds, and rapid efficiency loss, indicating strong dependence on a limited set of structurally central countries. From the mid-2000s onward, the network demonstrates substantially higher robustness, increased tolerance to targeted disruption, and better preservation of efficient collaboration pathways. These changes reflect not merely network growth, but qualitative shifts toward more redundant and distributed collaboration structures. By tracing the joint evolution of robustness, critical vulnerability, and functional efficiency, the study demonstrates that resilience in scientific collaboration networks is neither monolithic nor synchronous across dimensions. These findings contribute to scientometrics by clarifying how different aspects of resilience co-evolve over time and by providing a longitudinal perspective on the structural maturation of international collaboration in this discipline.