  We simulate the canonical Vicsek model and estimate the flow of information
as a function of noise (the variability in the extent to which each animal
aligns with its neighbours). We show that the global transfer entropy for
finite flocks not only fails to peak near the phase transition, as demonstrated
for the canonical 2D Ising model, but remains constant from the transition to
very low noise values. This provides a foundation for future study regarding
information flow in more complex models and real-world flocking data.
