  We construct the temporal network using the two-dimensional active particle
systems which are described by the Vicsek model. The bursts of the interevent
times for a specific pair of particles are investigated numerically. We find
that for different noise strength, the distribution of the interevent times of
a target edge follows by a heavy-tail, revealing a strong burstiness of the
signals. To further characterize the nature of the burstiness, the burstiness
parameter and the memory coefficient are calculated. The results show that near
the critical points of the Vicsek model, the burstiness parameters reach the
minimum values for each density, indicating a relation between the phase
transition of the Vicsek model and the bursty nature of the signals. Besides,
the memory plays a negligible role in the burstiness. Further, we investigate
the spreading dynamics on our temporal network with the susceptible-infected
model, and observe a positive correlation between the burstiness and the
information spreading dynamics.
