Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms

This monograph provides an overview of the mathematical theories and computational algorithm design for contagion source detection in large networks. By leveraging network centrality as a tool statistical inference, we can accurately identify contagions, trace their spread, predict future trajectories. approach fundamental insights into surveillance capability asymptotic behavior spreading Mathematical theory algorithms are vital to understanding dynamics, improving capabilities, developing effective strategies prevent spread infectious diseases misinformation.