Back to Search Start Over

Quantifying leadership in climate negotiations : A social power game

Authors :
Bernardo, Carmela
Wang, Lingfei
Fridahl, Mathias
Altafini, Claudio
Bernardo, Carmela
Wang, Lingfei
Fridahl, Mathias
Altafini, Claudio
Publication Year :
2023

Abstract

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.<br />Funding: Swedish Research Council [2020-03701]; ELLIIT framework program at Linkoping University

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1416061107
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1093.pnasnexus.pgad365