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

Author

Listed:
  • Anne Egelston

    (Center for Environmental Studies, Tarleton State University, Stephenville, TX 76402, USA)

  • Scott Cook

    (Department of Mathematics, Tarleton State University, Stephenville, TX 76402, USA)

  • Tu Nguyen

    (Department of Chemistry, Geoscience, and Physics, Tarleton State University, Stephenville, TX 76402, USA)

  • Samantha Shaffer

    (Department of Government, Legal Studies, and Philosophy, Tarleton State University, Stephenville, TX 76402, USA)

Abstract

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.

Suggested Citation

  • Anne Egelston & Scott Cook & Tu Nguyen & Samantha Shaffer, 2019. "Networks for the Future: A Mathematical Network Analysis of the Partnership Data for Sustainable Development Goals," Sustainability, MDPI, vol. 11(19), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5511-:d:273731
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    References listed on IDEAS

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    Cited by:

    1. Bokyong Shin & Mikko Rask, 2021. "Assessment of Online Deliberative Quality: New Indicators Using Network Analysis and Time-Series Analysis," Sustainability, MDPI, vol. 13(3), pages 1-21, January.

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