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Network and Cluster Analysis of the Funding Relationship among the U.N. Agencies and State DonorsNetwork and Cluster Analysis of the Funding Relationship among the U.N. Agencies and State Donors

Other Titles
Network and Cluster Analysis of the Funding Relationship among the U.N. Agencies and State Donors
Authors
이은진김영서홍세희
Issue Date
2021
Publisher
한국자료분석학회
Keywords
K-means clustering; UN; bipartite network; network analysis; world systems approach
Citation
Journal of The Korean Data Analysis Society, v.23, no.6, pp.2547 - 2562
Indexed
KCI
Journal Title
Journal of The Korean Data Analysis Society
Volume
23
Number
6
Start Page
2547
End Page
2562
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/137894
DOI
10.37727/jkdas.2021.23.6.2547
ISSN
1229-2354
Abstract
The purpose of this study is to examine the network structure of the world polity with the funding data of the United Nations agencies and their donor states in 2020. Network analysis was employed to further understand the current structure of the network from the world systems approach. Research hypotheses concerning the theory were developed from a network and hierarchical perspective on political science. Considering the bipartite network structure of data, cohesion measures including density, average distance, diameter, and fragmentation were calculated. In addition, the K-means clustering was conducted to examine the world structure. The results of network analysis suggest that the global structure is partly aligned with the world systems theory. The findings demonstrate that both states and agency actors are interconnected to each other, and its structure is being polarized and the power is centralized to core countries. This study sheds light on the funding relationship among states and U.N. agencies as a function of international governance.
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