Network characterization of the Entangled Model for sustainability indicators. Analysis of the network properties for scenarios
File(s)PlosOne_Dec_2018.pdf (1.07 MB)
Published version
Author(s)
Vazquez, Pavel
del Rio, Jesus A
Cedano, Karla G
van Dijk, Jiska
Jensen, Henrik Jeldtoft
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.
Date Issued
2018-12-17
Date Acceptance
2018-11-22
Citation
PLoS ONE, 2018, 13 (12)
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.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000453451000040&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
TANGLED NATURE
SCIENCE
SIMULATION
STABILITY
Publication Status
Published
Article Number
ARTN e0208718