Network Evolution and National Interests: Global Scientific Reorganization and the Rise of Scientific Nationalism

2026-03-28

AI Summary

This study investigates how the rise of China over the past two decades has reshaped global scientific collaboration networks, with particular emphasis on its impact on the United States’ intermediary role. Integrating structural hole theory with the Bianconi–Barabási fitness model, the authors employ network analysis, weighted and betweenness centrality measures, and Granger causality tests across six major research fields. They demonstrate that China’s increasing direct collaborations have reduced its reliance on U.S. intermediation, thereby fostering a more multipolar scientific landscape. Moving beyond zero-sum competition narratives, the work establishes a causal link between national participation and network structural change, revealing a significant decline in U.S. betweenness centrality despite stable bilateral collaboration intensity, and showing that China’s early engagement predicts subsequent network evolution across multiple domains.

Technology Category

Game Theory and Economic Paradigms: Coordination and CollaborationKnowledge Representation and Reasoning: Action, Change, and CausalityData Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community

Application Category

Social Networks and Social Media: Computational social scienceWeb Mining and Content Analysis: Models for Web evolutionGraph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs

Abstract

The global network of scientific cooperation has undergone major restructuring over the past two decades, with important implications for geopolitics and science policy. China's integration into this network has redistributed positions of influence in ways that challenge zero-sum views of national competition and security. Drawing on structural holes theory and the Bianconi-Barabasi fitness model, we argue that China's entry accelerated an ongoing process of network maturation. As China's scientific capacity expanded, it formed direct collaborations that reduced reliance on U.S. intermediation. Network analysis shows a large decline in U.S. betweenness centrality, while weighted measures remain stable, indicating a loss of brokerage advantages but continued strong bilateral ties. Granger causality tests suggest that China's early participation predicted later structural changes across fields. Results are consistent across six major domains.

Problem

• scientific cooperation
• network evolution
• scientific nationalism
• geopolitics
• national competition

Innovation

• structural holes theory
• Bianconi-Barabasi model
• network betweenness centrality
• Granger causality
• scientific nationalism