Abstract
Influence diffusion models are used for simulating information propagation in social networks. While most existing influence diffusion models are probabilistic, the emergence of Large Language Model (LLM) sheds light on the language-level inferences and interactions of user agents. This paper presents an LLM-enhanced Agent-based Influence Diffusion model (LAID), and a web-based visualization tool, LAIDSim, for simulating the information propagation in social networks.
Keywords
- Agent-based and Multi-agent Systems: MAS: Agent-based simulation and emergence
- Agent-based and Multi-agent Systems: MAS: Agent communication
- Agent-based and Multi-agent Systems: MAS: Agent societies
- Agent-based and Multi-agent Systems: MAS: Agent theories and models
