  The S.I.R. model (Susceptible, Infected, Recovered or Died) was proposed by
chemistry Willam Kermack (1927) and the mathematician G. Mc. Kendrick (1932).
the model supposes to divide to the individuals of a population in three
categories. Susceptible to be infected, Infected and Recovered (immune or died
by the disease). On the other hand has been a similarity in the evolution of
epidemics of infect aerial, the computer science propagation of virus and the
propagation of social paradigms (fashion, rumor, etc.) it calls modernly
``Social Epidemics''. In this work it is tried to use this model in different
types from social networks, real or not. In order to evaluate a meta-analysis
of results allows to investigate under wich conditions the topology of the
network is excellent and that networks are equivalent. The result obtained can
have relevance in study of propagation of epidemics of different types.
