Recent advances in opinion propagation dynamics: A 2020 Survey
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Abstract (arXiv)
Opinion dynamics have attracted the interest of researchers from different fields. Local interactions among individuals create interesting dynamics for the system as a whole. Such dynamics are important from a variety of perspectives. Group decision making, successful marketing, and constructing networks (in which consensus can be reached or prevented) are a few examples of existing or potential applications. The invention of the Internet has made the opinion fusion faster, unilateral, and on a whole different scale. Spread of fake news, propaganda, and election interferences have made it clear there is an essential need to know more about these dynamics. The emergence of new ideas in the field has accelerated over the last few years. In the first quarter of 2020, at least 50 research papers have emerged, either peer-reviewed and published or on pre-print outlets such as arXiv. In this paper, we summarize these ground-breaking ideas and their fascinating extensions and introduce newly surfaced concepts.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2020.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024Social Opinions Prediction Utilizes Fusing Dynamics Equation with LLM-based Agentscited by 11
- 2025A Survey of Physics-Informed AI for Complex Urban Systemscited by 2
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Propertiescited by 0
- 2026Collective Opinion Dynamics in Structured LLM Populationscited by 0
- 2026Collective Opinion Dynamics in Structured LLM Populations13 Apr 2026
- 2025A Survey of Physics-Informed AI for Complex Urban Systems9 Jun 2025
- 2024A Generalisation of Voter Model: Influential Nodes and Convergence Properties7 Nov 2024
- 2024Social Opinions Prediction Utilizes Fusing Dynamics Equation with LLM-based Agents13 Sep 2024