The study explores how large language models (LLMs) behave in network formation, emphasizing preferential attachment, triadic closure, homophily, community structure, and the small-world phenomenon. LLMs show tendencies towards these principles in both synthetic and real-world networks. The research highlights the potential of LLMs in shaping social dynamics and developing socially aware models.
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arxiv.org
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