Identity Drives Polarization: Advancing the Hegselmann-Krause Model by Identity Groups

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23330%2F23%3A43970413" target="_blank" >RIV/49777513:23330/23:43970413 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-34920-1_20" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-34920-1_20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-34920-1_20" target="_blank" >10.1007/978-3-031-34920-1_20</a>

Result language
angličtina
Original language name
Identity Drives Polarization: Advancing the Hegselmann-Krause Model by Identity Groups
Original language description
In this article we describe an Agent-Based Model that extends the Hegselmann-Krause model of opinion dynamics to study the role of social identity in opinion polarization. In our model, an agent’s social identity is a function of two things—the agent’s opinion in relation to those of the other agents, and the observer’s sensitivity to the tightness of clustering.We implement this by first selecting a subset of the agent population that are deemed to have close neighbors, and then using Louvain community detection to find identity groups. At every time step, agentsonly consider the opinions of other agents within their identity group that also fall within their Hegselmann-Krause opinion boundary, ε. We show that our dynamic implementation of social identity systematically modulates the relationship between average ε and polarization.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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