Results showing suitable methods and mechanisms to know and model relevant variables in building tertiary networks are presented. Those data were used in Health and Education aspects. Due to complexity and diversity of the analysis, characterization indexes and profiles for each sub-sector were done in order to fully integrate all the information, and thus to know the real status of each network. In a second stage, the organization as a function of the equal distribution of all the involved resources will be inferred. Regarding energy, “early control” techniques will be designed to evaluate potential savings in each network.