The spectral underpinnings of pathogen spread on animal networks
N. M. Fountain-Jones, M. Silk, R. Appaw, R. Hamede, J. Rushmore, K. VanderWaal, M. E. M. Craft, S. Carver, M. Charleston
The paper uses spectral graph theory and machine learning to predict pathogen spread in animal networks and shows spectral features can predict vulnerability to infection.
bioRxiv · Jul 28, 2022 · PreprintEcology