  We present an investigation of the mode of road transport in Brazil combining
tools of complex networks and real-data. Our analysis involves a data-set based
on the service routes inscribed on the Brazilian Transport Agency database.
Although connectivity distributions of road networks worldwide are usually
claimed as described by a power-law fashion, we report a better fit for the
Brazilian case offered by the q-Weibull distribution. In our approach nodes
assume the role of localities, whereas links represent service routes among
them. Interestingly, a rapid drop takes place on the tail of the data
distribution for a particular range of the number of outgoing connections. The
mechanism responsible for driving this drop is revealed by investigating the
spectral centrality of the network and different patterns of disassortative
mixture, for both incoming and outgoing distributions. Besides a discussion
about a power law description, we report a contrast with two different
distributions. They are interpolated by the q-Weibull one: the Weibull and the
q-exponential distributions. Moreover, we study the reciprocity of this
network, which reflects the influence of mutual links over dynamical processes.
This kind of analysis is indispensable for studies on human mobility, shipping,
and a multi-modal perspective.
