Networks for the Future: A Mathematical Network Analysis of the Partnership Data for Sustainable Development Goals

被引:5
|
作者
Egelston, Anne [1 ]
Cook, Scott [2 ]
Tu Nguyen [3 ]
Shaffer, Samantha [4 ]
机构
[1] Tarleton State Univ, Ctr Environm Studies, Stephenville, TX 76402 USA
[2] Tarleton State Univ, Dept Math, Stephenville, TX 76402 USA
[3] Tarleton State Univ, Dept Chem Geosci & Phys, Stephenville, TX 76402 USA
[4] Tarleton State Univ, Dept Govt Legal Studies & Philosophy, Stephenville, TX 76402 USA
关键词
sustainable development; network analysis; partnership data for sustainable development goals; United Nations; voluntary commitments; REGIME COMPLEX; DYNAMICS;
D O I
10.3390/su11195511
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This research project analyzes the Partnership Data for Sustainable Development Goals to determine geographical coverage of the projects as well as the relationships of project proponents working in support of sustainable development. We perform a network analysis of the project proponents and measure connectivity through a variety of mathematical modeling techniques including degree rank, betweenness centrality, cut degree and pagerank metrics. We observe that the network consists of one giant component containing a majority of entities surrounded by a corona of small independent clusters. We conclude that mathematical modeling supports existing scholarly literature that proclaims sustainable development as a soft law paradigm with widespread support.
引用
收藏
页数:13
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