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

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Title: Network characterization of the Entangled Model for sustainability indicators. Analysis of the network properties for scenarios
Authors: Vazquez, P
Del Rio, JA
Cedano, KG
Van Dijk, J
Jensen, HJ
Item Type: Journal Article
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.
Issue Date: 17-Dec-2018
Date of Acceptance: 22-Nov-2018
URI: http://hdl.handle.net/10044/1/66497
DOI: https://dx.doi.org/10.1371/journal.pone.0208718
ISSN: 1932-6203
Publisher: Public Library of Science (PLoS)
Journal / Book Title: PLoS ONE
Volume: 13
Issue: 12
Copyright Statement: © 2018 Vázquez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
TANGLED NATURE
SCIENCE
SIMULATION
STABILITY
MD Multidisciplinary
General Science & Technology
Publication Status: Published
Article Number: ARTN e0208718
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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