  The diffusion of innovations is an important topic for the consumer markets.
Early research focused on how innovations spread on the level of the whole
society. To get closer to the real world scenarios agent based models (ABM)
started focusing on individual-level agents. In our work we will translate an
existing ABM that investigates the role of opinion leaders in the process of
diffusion of innovations to a new, more expressive platform designed for agent
based modeling, GAMA. We will do it to show that taking advantage of new
features of the chosen platform should be encouraged when making models in the
field of social sciences in the future, because it can be beneficial for the
explanatory power of simulation results.
