A new survey paper published on arXiv details the application of large language models (LLMs) in social network modeling. The paper categorizes existing research into network generation and dynamic process models, highlighting LLMs' ability to simulate context-aware social behavior and language-driven interactions. While LLMs offer a more realistic approach than traditional methods, the survey also points out limitations such as inherent social biases and prompt sensitivity, outlining future research directions. AI
IMPACT Provides a structured overview of LLM applications in social network analysis, identifying key challenges and future research avenues.
RANK_REASON The cluster contains a survey paper on the application of LLMs in a specific research area. [lever_c_demoted from research: ic=1 ai=1.0]
- arXiv
- deep learning
- Hugging Face
- information diffusion
- Large language models
- natural language
- Opinion dynamics
- Rumor Propagation Detection System in Social Network Services
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