Limitations of LLM-Driven Social Simulations: Emotion Diffusion in Real and Simulated Graphs

This ArXiv paper investigates the structural constraints of Large Language Model (LLM)-based social simulations, focusing on the spread of emotions across both real-world and synthetic social graphs. Understanding these limitations is crucial for improving the accuracy and reliability of simulations used in various fields, from social science to marketing.