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Simulating Influence Dynamics with LLM Agents

2025/03/10 by Mehwish Nasim, Syed Muslim Gilani, Nasim, Mehwish +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.7 #I.6.0 #Multi-Agent Systems and Negotiation #Social and Information Networks (cs.SI)

paper · pdf · doi:10.48550/arxiv.2503.08709

openalex publication_date 2025/03/10 · openalex created_date 2025/10/13 · openalex updated_date 2026/07/28

Abstract

This paper introduces a simulator designed for opinion dynamics researchers to model competing influences within social networks in the presence of LLM-based agents. By integrating established opinion dynamics principles with state-of-the-art LLMs, this tool enables the study of influence propagation and counter-misinformation strategies. The simulator is particularly valuable for researchers in social science, psychology, and operations research, allowing them to analyse societal phenomena without requiring extensive coding expertise. Additionally, the simulator will be openly available on GitHub, ensuring accessibility and adaptability for those who wish to extend its capabilities for their own research.

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