Analysis of Global Core Countries from a Complex Network Perspective
DOI:
https://doi.org/10.54097/qndhd050Keywords:
complex network; globalization; degree distribution.Abstract
This paper analyzes the importance of countries in a globalized world and explores their cooperative tendencies using a complex network approach. By extracting data from The GDELT Project, an undirected weighted global network is constructed, where each node represents a country. The network is found to be scale-free based on the degree distribution. Core countries are identified using different centrality metrics, such as degree centrality, closeness centrality, and PageRank. The occurrence of war is identified as a significant factor influencing the importance of countries like Israel and Ukraine in the network. By considering the types of events, the study examines the cooperative tendencies of countries and finds an overall trend of cooperation rather than conflict among nations, with varying levels of collaboration. Countries involved in conflicts or wars show limited cooperation with other nations during the selected period. The findings suggest that globalization may influence the cooperative tendencies of countries. The paper contributes to the understanding of the importance of countries in a globalized world and their cooperative tendencies using a complex network perspective
Downloads
References
Fairooz Mustafa Hamdi. The impact of globalization in the developing countries. Developing Country Studies, 3(11):142–144, 2013.
Emilie M Hafner-Burton, Miles Kahler, and Alexander H Montgomery. Network analysis for international relations. International organization, 63(3):559–592, 2009.
G Fagiolo and G Santoni. Country centrality in the international multiplex network. Netw. Sci, 3:377–407, 2015.
Xin-lei An, Li Zhang, Yin-zhen Li, and Jian-gang Zhang. Synchronization analysis of complex networks with multi-weights and its application in public traffic network. Physica A: Statistical Mechanics and its Applications, 412:149–156, 2014.
Wenwu Yu, Jinde Cao, Guanrong Chen, Jinhu Lu, Jian Han, and Wei Wei. Local synchronization of a complex network model. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39(1):230–241, 2008.
Runjie Xu, Chuanmin Mi, Rafal Mierzwiak, and Runyu Meng. Complex network construction of internet finance risk. Physica A: Statistical Mechanics and its Applications, 540:122930, 2020.
Cristiana J Silva, Guillaume Cantin, Carla Cruz, Rui Fonseca-Pinto, Rui Passadouro, Estev ̃ao Soares Dos Santos, and Delfim FM Torres. Complex network model for covid-19: human behavior, pseudo-periodic solutions and multiple epidemic waves. Journal of mathematical analysis and applications, 514(2):125171, 2022.
Michael Hay, Chao Li, Gerome Miklau, and David Jensen. Accurate estimation of the degree distribution of private networks. In 2009 Ninth IEEE International Conference on Data Mining, pages 169–178. IEEE, 2009.
Francisco Aparecido Rodrigues. Network centrality: an introduction. A mathematical modeling approach from nonlinear dynamics to complex systems, pages 177–196, 2019.
Junlong Zhang and Yu Luo. Degree centrality, betweenness centrality, and closeness centrality in so-cial network. In 2017 2nd international conference on modelling, simulation and applied mathematics (MSAM2017), pages 300–303. Atlantis press, 2017.
Ying Ding, Erjia Yan, Arthur Frazho, and James Caverlee. Pagerank for ranking authors in co-citation networks. Journal of the American Society for Information Science and Technology, 60(11):2229–2243, 2009.
Rada Mihalcea. Graph-based ranking algorithms for sentence extraction, applied to text summarization. In Proceedings of the ACL interactive poster and demonstration sessions, pages 170–173, 2004.
Albert-L ́aszl ́o Barab ́asi and Eric Bonabeau. Scale-free networks. Scientific american, 288(5):60–69, 2003.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
