absorbing state. Moreover, when noise is included, it is not possible in general to define a final absorbing state and the dynamical evolution of the system is stopped by defining some criterion related with a definition for the stationary state the system reaches. In our case, we have included noise only in those agents which are active on each time step, and do not in the rest of the society. This has allowed us to reach final absorbing states even when noise is present. We have implemented different computational experiments to study the Mass Media effects in the Axelrod model when the social influence is the mechanism at work for agents interaction. As there is no qualitative difference on the dynamical behavior of the system for F ≥ 2, we have set F = 3 in our study, a network size with L = 50 (2500 agents unless otherwise stated) and averages have been taken over 200 different initial random configurations. In Fig. 2 we represent the normalized value of S (the amount of agents in the biggest culture domain when the system reaches the final absorbing state), as a function of the initial diversity q with no noise ( r = 0). Panel a) corresponds to calculations with one-step neighborhood ( p = 1) while in panel b) the calculation was done for p = 2. This means that the amount of neighbors of each agent in panel a) are only four plus the super-agent while in case b) each agent has now twelve neighbors beside the super-agent. Different values of the super-agent strength ϵ are included. It is also included in dotted-line the parameter δ which is the amount of information of the super-agent on the society. This parameter is obtained counting along all of agents and their corresponding traits if the information is equal to that of the super-agent in the same feature. The final count is divided by F to scale the value in a way that can be shown in the same scale as the parameter S . It can be seen that for low values of q the system reaches a close-monocultural state for any value of the strength ϵ . These are rather trivial cases because these extremely low values of q mean a very low initial diversity of the system and a final close-monoculture state is then expected. A monoculture state is also induced for high enough values of q but the system is now more sensitive to the values of ϵ than in the region of low q values. In this case, higher IV. RESULTS 9