  It is shown that under certain conditions it is possible to model a complex
system in a way that leads to results that do not depend on system size. As an
example of complex system an innovation diffusion model is considered. In that
model a set of individuals (the agents), which are interconnected, must decide
if adopt or not an innovation. The agents are connected in a member of the
networks family known as small worlds networks (SWN). It is found that for a
subfamily of the SWN the saturation time and the form of the adoption curve are
invariants respect to the change in the size of the system.
