Simulating Influence Dynamics with LLM Agents
This provides a tool for opinion dynamics researchers in social science, psychology, and operations research to analyze societal phenomena, but it is incremental as it combines existing methods.
The paper tackles the problem of modeling competing influences in social networks by introducing a simulator that integrates opinion dynamics principles with LLM-based agents, enabling researchers to study influence propagation and counter-misinformation strategies without extensive coding.
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.