Researchers introduced a new hybrid AI model on November 15, 2025, that combines graph neural networks (GNNs) and time-series analysis. According to Bioengineer.org, the model is designed to accurately predict "spatio-temporal flows" in social networks—this includes human movement, information dissemination, or contacts. According to the paper published in the journal "Discover Artificial Intelligence," this hybrid model outperforms traditional approaches in accuracy and robustness on real-world datasets. The findings could have significant implications for urban planning, epidemiological surveillance, and mass behavior analysis.
Hybrid AI Model Improves Social Network Flow Prediction
