  Network of packages with regulatory interactions (dependences and conflicts)
from Debian GNU/Linux operating system is compiled and used as analogy of a
gene regulatory network. Using a trace-back algorithm we assembly networks from
the potential pool of packages for both scale-free and exponential topology
from real and a null model data, respectively. We calculate the maximum number
of packages that can be functionally installed in the system (i.e., the active
network size). We show that scale-free regulatory networks allow a larger
active network size than random ones. Small genomes with scale-free regulatory
topology could allow much more functionality than large genomes with an
exponential one, with implications on its dynamics, robustness and evolution.
