4 papers
Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation
Chenghua Gong, Yihang Jiang, Hao Li +5
Advanced opinion dynamics modeling is vital for deciphering social behavior, emphasizing its role in mitigating polarization and securing cyberspace. To synergize mechanistic inter…
Epi-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks
Rui Sun, Chenghua Gong, Tianjun Gu +5
Advancing epidemic dynamics forecasting is vital for targeted interventions and safeguarding public health. Current approaches mainly fall into two categories: mechanism-based and…
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
Chenghua Gong, Rui Sun, Yuhao Zheng +4
Advanced epidemic forecasting is critical for enabling precision containment strategies, highlighting its strategic importance for public health security. While recent advances in…
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
Yuhao Zheng, Chenghua Gong, Rui Sun +3
Popularity prediction in information cascades plays a crucial role in social computing, with broad applications in viral marketing, misinformation control, and content recommendati…