Co-evolving networks for opinion and social dynamics in agent-based models

The rise of digital social media has strengthened the coevolution of public opinions and social interactions that shape social structures and collective outcomes in increasingly complex ways. The existing literature often explores this interplay as a one-directional influence, focusing on how opinions determine social ties within adaptive networks. However, this perspective overlooks the intrinsic dynamics driving social interactions, which can significantly influence how opinions form and evolve. In this work, we address this gap, by introducing the co-evolving opinion and social dynamics using stochastic agent-based models. Agents' mobility in a social space is governed by both their social and opinion similarity with others. Similarly, the dynamics of opinion formation is driven by the opinions of agents in their social vicinity. We analyze the underlying social and opinion interaction networks and explore the mechanisms influencing the appearance of emerging phenomena, such as echo chambers and opinion consensus. To illustrate the model's potential for real-world analysis, we apply it to General Social Survey data on political identity and public opinion regarding governmental issues. Our findings highlight the model's strength in capturing the coevolution of social connections and individual opinions over time.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2024-09-01
DOI
https://doi.org/10.1063/5.0226054
Citations
5
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
1.41

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article

Co-evolving networks for opinion and social dynamics in agent-based models

Nataša Djurdjevac Conrad, Sören Nagel, Nhu Quang Vu
5 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Opinion Dynamics and Social Influence
1.41
article

Co-evolving networks for opinion and social dynamics in agent-based models

Nataša Djurdjevac Conrad, Sören Nagel, Nhu Quang Vu
article en
5 citations

Abstract

The rise of digital social media has strengthened the coevolution of public opinions and social interactions that shape social structures and collective outcomes in increasingly complex ways. The existing literature often explores this interplay as a one-directional influence, focusing on how opinions determine social ties within adaptive networks. However, this perspective overlooks the intrinsic dynamics driving social interactions, which can significantly influence how opinions form and evolve. In this work, we address this gap, by introducing the co-evolving opinion and social dynamics using stochastic agent-based models. Agents' mobility in a social space is governed by both their social and opinion similarity with others. Similarly, the dynamics of opinion formation is driven by the opinions of agents in their social vicinity. We analyze the underlying social and opinion interaction networks and explore the mechanisms influencing the appearance of emerging phenomena, such as echo chambers and opinion consensus. To illustrate the model's potential for real-world analysis, we apply it to General Social Survey data on political identity and public opinion regarding governmental issues. Our findings highlight the model's strength in capturing the coevolution of social connections and individual opinions over time.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 34(9)
Zuse Institute Berlin (DE), Freie Universität Berlin (DE)
Deutsche Forschungsgemeinschaft
Reduced inequalities
Openalex Percentile: Top 19%
Opinion Dynamics and Social Influence
1.41
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