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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

50401 - Sociology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Advances in Social Simulation

ISBN

978-3-031-34920-1

Počet stran výsledku

14

Strana od-do

249-262

Počet stran knihy

601

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

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