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  Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model

Quante, L., Stechemesser, A., Hödtke, D., Levermann, A. (in press): Convolution of individual and group identity: self-reliance increases polarisation in basic opinion model. - Humanities and Social Sciences Communications.

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_29982 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_29982_1
Genre: Journal Article

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 Creators:
Quante, Lennart1, Author           
Stechemesser, Annika1, Author           
Hödtke, Damian2, Author
Levermann, Anders1, 3, Author           
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              
3Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              

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 Abstract: Opinion formation within society follows complex dynamics. Towards its understanding, axiomatic theory can complement data analysis. To this end we propose an axiomatic model of opinion formation that aims to capture the interaction of individual conviction with social influence in a minimalist fashion. Despite only representing that (1) agents have an initial conviction with respect to a topic and are (2) influenced by their neighbours, the model shows emergence of opinion clusters from an initially unstructured state. Here, we show that increasing individual self-reliance makes agents more likely to align their socially influenced opinion with their inner conviction which concomitantly leads to increased polarisation. The opinion drift observed with increasing self-reliance may be a plausible analogue of polarisation trends in the real world. Modelling the basic traits of striving for individual versus group identity, we find a trade-off between individual fulfilment and societal cohesion. This finding from fundamental assumptions can serve as a building block to explain opinion polarisation.

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Language(s): eng - English
 Dates: 2024-06-17
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: Working Group: Data-based analysis of climate decisions
Working Group: Numerical analysis of global economic impacts
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Model / method: Agent-based Models
Model / method: Decision Theory
OATYPE: Gold - DEAL Springer Nature
MDB-ID: pending
 Degree: -

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Title: Humanities and Social Sciences Communications
Source Genre: Journal, Scopus, oa
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/humanities-and-social-sciences-communications
Publisher: Nature