Feb. 19, 2024, 5:48 a.m. | Marios Papachristou, Yuan Yuan

cs.CL updates on arXiv.org arxiv.org

arXiv:2402.10659v1 Announce Type: cross
Abstract: Social networks influence behaviors, preferences, and relationships and play a crucial role in the dissemination of information and norms within human societies. As large language models (LLMs) increasingly integrate into social and professional environments, understanding their behavior within the context of social networks and interactions becomes essential. Our study analyzes the behaviors of standard network structures and real-world networks to determine whether the dynamics of multiple LLMs align with human social dynamics. We explore various …

abstract arxiv behavior context cs.ai cs.cl cs.ma cs.si dynamics environments human influence information interactions language language models large language large language models llms network networks professional relationships role social social networks study type understanding

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