  In the present paper we have conducted studies on seismological properties
using worldwide data of deep earthquakes (depth larger than 70 km), considering
events with magnitude $m \geq 4.5$. We have addressed the problem under the
perspective of complex networks, using a time window model to build the
networks for deep earthquakes, which present scale-free and small-world
features. This work is an extension of a previous study using a similar
approach, for shallow events. Our results for deep events corroborate with
those found for the shallow ones, since the connectivity distribution for deep
earthquakes also follows a q-exponential distribution and the scaling behavior
is present. Our results were analysed using both, complex networks and
Nonextensive Statistical Mechanics, contributing to strengthen the use of the
time window model to construct epicenters networks. They reinforce the idea of
long-range correlations between earthquakes and the criticality of the
seismological system.
