Propagation Analysis

The study of how misinformation and rumors spread through social networks, including cascade models, network diffusion patterns, and temporal dynamics of content spread. This encompasses both empirical measurement of real-world propagation and computational models for predicting spread trajectories.

Key papers

• A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation — Propagation prediction for health misinformation
• Anatomy of an online misinformation network — Network-based analysis of misinformation spread
• Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning — Kernel methods for propagation structure

Related topics

• Cascade Prediction (specialized subfield)
• Information diffusion in social networks (broader concept)
• Social networks and online communities (foundational)