Volume 13 • Issue 2 • PP: 10–17 • 2025
Network Structures and Systemic Dynamics of Globalization Processes: Gephi Based Analysis
Open Access & Copyright
© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
Abstract
In this study, we look at globalization processes over a longitudinal time horizon in the global system to reduce the fragmentation of analytical perspectives while integrating structural and relational dimensions. The analysis examines the dynamics of a complex network in global contexts, including economic, technological, institutional, and informational linkages, to identify systemic patterns that have implications for governance in the area of global integration. Based on a theoretical framework, we position this research to improve the understanding of globalization dynamics into empirically observable structures for the scholarly community. In this paper, we provide empirical insights into the structure of global networks by showing how connectivity and centrality have jointly shaped interaction patterns and asymmetries in the globalization process, affecting the stability of the system. Within each of these dimensions, we integrated observations into a multi-level repeated-measures analysis of network indicators (nodes × ties). Differences were assessed by use of a combination of correlation techniques and regression models, and network metrics within the global system that are relevant to these dynamics. Gephi-based visualization resulted in the exclusion of isolated components not being used for explanatory modeling and statistical testing. A significant main effect was found for network type and it influenced only the strength of associations and structural dependencies. The interaction of global actors of different system positions with other forms of global connectivity through network structures suggests that actors who are new to operating in a highly connected system may be at an increased risk of marginalization. Because increases in these structural imbalances have been associated with an increased likelihood of system-level instability, network-oriented analysis is an effective and integrative approach with potential to improve analytical rigor, policy relevance, and to inform globalization-related decision-making.
Keywords
References
[1] D. Gönçer-Demiral and M. ˙Ince Yenilmez, “Network analysis of international export pattern,” Social Network Analysis and Mining, vol. 12, no. 1, p. 156, 2022.
[2] K. Rashidi, A. Noorizadeh, D. Kannan, and K. Cullinane, “Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-theart,” Journal of Cleaner Production, vol. 269, p. 122001, 2020.
[3] P. De Lombaerde, F. Söderbaum, L. Van Langenhove, and F. Vanroelen, “Using network analysis to study globalization, regionalization, and multi-polarity,” Network Science, vol. 1, no. 3, pp. 494–514, 2018.
[4] G. Morgan and P. M. Kristensen, “Network perspectives on globalization,” 2018.
[5] Y. Maruccia, P. Del Vecchio, and G. Secundo, “Network analysis for innovation systems: Evidence from global innovation index,” Technological Forecasting and Social Change, vol. 158, p. 120151, 2020.
[6] M. R. Hussain and M. Ajmal, “Examining the convergence of dominant themes related to globalization,” 2023.
[7] F. J. Contractor, “The world economy will need even more globalization in the post-pandemic 2021 decade,” Journal of International Business Studies, vol. 53, no. 1, pp. 156–171, 2022.
[8] G. Rajaguru, S. Srivastava, R. Sen, and P. Mukhopadhaya, “Does globalization drive long-run inequality within OECD countries? a guide to policy making,” Journal of Policy Modeling, vol. 45, no. 3, pp. 469–493, 2023.
[9] Y. Shao, T. Huo, Y. Yang, and Z. Li, “Does economic globalization shape the international tourism structure? a cross-national panel data estimation,” Journal of Travel Research, vol. 62, no. 5, pp. 1121–1139, 2023.
[10] C. T. Vidya, S. Mummidi, and B. Adarsh, “Effect of the COVID-19 pandemic on world trade networks and exposure to shocks: A cross-country examination,” Emerging Markets Finance and Trade, vol. 59, no. 3, pp. 863– 879, 2023.
[11] G. Pacini et al., “Social network analysis of worldwide plastic scrap trade using Gephi,” Journal of Cleaner Production, vol. 312, pp. 127–145, 2021.
[12] D. A. Smith and D. R. White, “Structure and dynamics of the global economy: Network analysis of international trade 1965–1980,” Social Forces, vol. 70, no. 4, pp. 857–893, 1992.
[13] D. Garlaschelli and M. I. Loffredo, “Structure and evolution of the world trade network,” Physica A: Statistical Mechanics and its Applications, vol. 355, no. 1, pp. 138–144, 2005.
[14] G. Fagiolo et al., “The international trade network: Weighted networks and world output,” International Journal of Modern Physics, vol. 22, no. 01, pp. 37–50, 2010.
[15] P. Piccardi and L. Tajoli, “The eccentricity of groups: Visualizing communities in weighted networks,” Journal of Economic Interaction and Coordination, vol. 13, no. 2, pp. 227–254, 2018.
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