International network analysis based on big data
The case of economic cooperation among the G20
Bibliographic Data
| ID | 12606884 |
|---|---|
| Authors | Hang Luo (0000-0002-2492-4983, Peking University), Bangxi Li (0000-0001-9474-6265, Beijing Foreign Studies University, corresponding author) |
| Year | 2025 |
| Publication date | 2025-12-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The British Journal of Politics and International Relations (JOURNAL) |
| Journal identifiers | ISSN: 1369-1481 • E-ISSN: 1467-856X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/13691481251378912 |
| OpenAlex | W4417449531 |
| Language | EN |
| References cited | 35 |
How the structure of the international economic cooperation network among the G20 countries has evolved over the past quarter century, and what are the roles and power levels of different countries in the network? We collect big data on economic cooperation events among the G20 countries from 2000 to 2024, and divide the 25 years into four periods using structure changepoint detection algorithms to separately construct international economic cooperation networks. We calculate and compare the multifaceted characteristics of the G20 economic cooperation network and trade network based on network analysis. At the macrolevel of network structure, we find that even when trade relations among the G20 countries became closer, economic cooperation among them became more distant. At the mesolevel of group classification, the result of community detection and the disparity of edge weight of the G20 economic cooperation network and trade network show clear but different regional characters. At the microlevel of power distribution, we measure and compare the power levels of the G20 countries in the economic cooperation network and their dynamics over time using weighted centrality indices based on current flow and random walks. By combining network analysis and event big data, we study economic interactions between countries in a unique approach that differs from traditional approaches employing trade volume or institutional data (e.g. free trade agreements)
Big data · Centrality · Complex network · Construct (python library · Economic integration · Economic power · Global network · Network analysis · Network science · Social network analysis · Complex Network Analysis Techniques · Economic and Technological Innovation · Global Urban Networks and Dynamics
Networks
Origins of Social Network Analysis
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality
Revisiting the Foundations of Network Analysis
Community detection in graphs
Collective dynamics of ‘small-world’ networks
Centrality in valued graphs
Structure and formation of top networks in international trade, 2001–2010
Node centrality in weighted networks
A measure of betweenness centrality based on random walks
Steering towards reglobalization
Distilling Issue Cycles From Large Databases
Precedents, Progress, and Prospects in Political Event Data
A faster algorithm for betweenness centrality
Network Analysis
A Conflict-Cooperation Scale for Weis Events Data
Embedded Revisionism
Network Analysis for International Relations
Concession Stands
Free Riding, Network Effects, and Burden Sharing in Defense Cooperation Networks
Bayesian approach to multilayer stochastic blockmodel and network changepoint detection
The persistent myth of lost hegemony,” revisited
| Citation velocity | historical |
|---|---|
| Highly cited | No |