Decoding alarm signal propagation of seed-harvester ants using automated movement tracking and supervised machine learning.

Alarm signal propagation through ant colonies provides an empirically tractable context for analysing information flow through a natural system, with useful insights for network dynamics in other social animals. Here, we develop a methodological approach to track alarm spread within a group of harvester ants, . We initially alarmed three ants and tracked subsequent signal transmission through the colony.