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Network characterization of the Entangled Model for sustainability indicators. Analysis of the network properties for scenarios

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  • Pável Vázquez
  • Jesús A del Río
  • Karla G Cedano
  • Jiska van Dijk
  • Henrik Jeldtoft Jensen

Abstract

Policy-makers require strategies to select a set of sustainability indicators that are useful for monitoring sustainability. For this reason, we have developed a model where sustainability indicators compete for the attention of society. This model has shown to have steady situations where a set of sustainability indicators are stable. To understand the role of the network configuration, in this paper we analyze the network properties of the Entangled Sustainability model. We have used the degree distribution, the clustering coefficient, and the interaction strength distribution as main measures. We also analyze the network properties for scenarios compared against randomly generated scenarios. We found that the stable situations show different characteristics from the unstable transitions present in the model. We also found that the complex emergent feature of sustainability shown in the model is an attribute of the scenarios, however, the randomly generated scenarios do not present the same network properties.

Suggested Citation

  • Pável Vázquez & Jesús A del Río & Karla G Cedano & Jiska van Dijk & Henrik Jeldtoft Jensen, 2018. "Network characterization of the Entangled Model for sustainability indicators. Analysis of the network properties for scenarios," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
    • Handle: RePEc:plo:pone00:0208718
    DOI: 10.1371/journal.pone.0208718
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    References listed on IDEAS

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    1. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2011. "The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents," Econometrica, Econometric Society, vol. 79(1), pages 123-157, January.
    2. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    3. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    4. Angela Espinosa & Jon Walker, 2011. "A Complexity Approach to Sustainability:Theory and Application," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number p699, August.
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    1. Aiyshwariya Paulvannan Kanmani & Renee Obringer & Benjamin Rachunok & Roshanak Nateghi, 2020. "Assessing Global Environmental Sustainability Via an Unsupervised Clustering Framework," Sustainability, MDPI, vol. 12(2), pages 1-12, January.

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