  How do update rules affect the dynamical and steady state properties of a
flock? In this study, we have explored the active Ising spins (s = +-1) in one
dimension, where spin updates its orientation according to the Metropolis
algorithm (based on the neighbors) via two different update rules. (i)
Parallel, and (ii) Random-sequential. We explore the effect of Parallel and
Random-sequential updates on the dynamical properties of flocks in one
dimension. Due to the inherent asynchronous nature of the Random-sequential
update, the directional switching of the flock is increased compared to the
Parallel one. The nature of phase transition is affected by the difference in
the updating mechanism: discontinuous for Parallel and continuous for
Random-sequential updates.
