Limitations of LLM-Driven Social Simulations: Emotion Diffusion in Real and Simulated Graphs
Published:Dec 24, 2025 12:14
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper examines the diffusion of emotions.”