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Quantifying leadership in climate negotiations: A social power game
Division of Automatic Control, Department of Electrical Engineering, Linköping University, SE-58183 Linköping, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-7046-9478
Department of Thematic Studies - Environmental Change, Linköping University, SE-58183 Linköping, Sweden.
Division of Automatic Control, Department of Electrical Engineering, Linköping University, SE-58183 Linköping, Sweden.
2023 (English)In: PNAS Nexus, E-ISSN 2752-6542, Vol. 2, no 11, article id pgad365Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
National Academy of Sciences , 2023. Vol. 2, no 11, article id pgad365
Keywords [en]
climate change negotiations, network opinion dynamics, social games
National Category
Media and Communication Studies
Identifiers
URN: urn:nbn:se:kth:diva-341439DOI: 10.1093/pnasnexus/pgad365ISI: 001112773900007Scopus ID: 2-s2.0-85178557239OAI: oai:DiVA.org:kth-341439DiVA, id: diva2:1825726
Note

QC 20240110

Available from: 2024-01-10 Created: 2024-01-10 Last updated: 2025-08-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • Other style
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  • de-DE
  • en-GB
  • en-US
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