Characterizing LLM-driven Social Network: The Chirper.ai Case

arXiv:2504.10286v2 Announce Type: replace-cross Abstract: The emergence of large language models (LLMs) has enabled a new paradigm of social network simulation, where AI agents can interact with human-like autonomy. Recent research has explored collective behavioral patterns and structural characteristics of LLM agents within simulated networks. However, empirical comparisons between LLM-driven and human-driven online social networks remain scarce, limiting our understanding of how LLM agents di