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Quantifying leadership in climate negotiations: A social power game
We consider complex multistage multiagent negotiation processes such as those occurring at climate conferences and ask ourselves how can an agent maximize its social power, intended as influence over the outcome of the negotiation. This question can be framed as a strategic game played over an opini...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661082/ https://www.ncbi.nlm.nih.gov/pubmed/38024414 http://dx.doi.org/10.1093/pnasnexus/pgad365 |
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author | Bernardo, Carmela Wang, Lingfei Fridahl, Mathias Altafini, Claudio |
author_facet | Bernardo, Carmela Wang, Lingfei Fridahl, Mathias Altafini, Claudio |
author_sort | Bernardo, Carmela |
collection | PubMed |
description | We consider complex multistage multiagent negotiation processes such as those occurring at climate conferences and ask ourselves how can an agent maximize its social power, intended as influence over the outcome of the negotiation. This question can be framed as a strategic game played over an opinion dynamics model, in which the action of an agent consists in stubbornly defending its own opinion. We show that for consensus-seeking opinion dynamics models in which the interaction weights are uniform, the optimal action obeys to an early mover advantage principle, i.e. the agents behaving stubbornly in the early phases of the negotiations achieve the highest social power. When looking at data collected from the climate change negotiations going on at the United Nations Framework Convention on Climate Change, we find evidence of the use of the early mover strategy. Furthermore, we show that the social powers computed through our model correlate very well with the perceived leadership roles assessed through independent survey data, especially when non-uniform weights incorporating economical and demographic factors are considered. |
format | Online Article Text |
id | pubmed-10661082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106610822023-11-07 Quantifying leadership in climate negotiations: A social power game Bernardo, Carmela Wang, Lingfei Fridahl, Mathias Altafini, Claudio PNAS Nexus Social and Political Sciences We consider complex multistage multiagent negotiation processes such as those occurring at climate conferences and ask ourselves how can an agent maximize its social power, intended as influence over the outcome of the negotiation. This question can be framed as a strategic game played over an opinion dynamics model, in which the action of an agent consists in stubbornly defending its own opinion. We show that for consensus-seeking opinion dynamics models in which the interaction weights are uniform, the optimal action obeys to an early mover advantage principle, i.e. the agents behaving stubbornly in the early phases of the negotiations achieve the highest social power. When looking at data collected from the climate change negotiations going on at the United Nations Framework Convention on Climate Change, we find evidence of the use of the early mover strategy. Furthermore, we show that the social powers computed through our model correlate very well with the perceived leadership roles assessed through independent survey data, especially when non-uniform weights incorporating economical and demographic factors are considered. Oxford University Press 2023-11-07 /pmc/articles/PMC10661082/ /pubmed/38024414 http://dx.doi.org/10.1093/pnasnexus/pgad365 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Social and Political Sciences Bernardo, Carmela Wang, Lingfei Fridahl, Mathias Altafini, Claudio Quantifying leadership in climate negotiations: A social power game |
title | Quantifying leadership in climate negotiations: A social power game |
title_full | Quantifying leadership in climate negotiations: A social power game |
title_fullStr | Quantifying leadership in climate negotiations: A social power game |
title_full_unstemmed | Quantifying leadership in climate negotiations: A social power game |
title_short | Quantifying leadership in climate negotiations: A social power game |
title_sort | quantifying leadership in climate negotiations: a social power game |
topic | Social and Political Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661082/ https://www.ncbi.nlm.nih.gov/pubmed/38024414 http://dx.doi.org/10.1093/pnasnexus/pgad365 |
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