Before revision:  By not being tied to any real data, random graph models are inadequate in many practical contexts , including areas of research, such as computational epidemiology, which are recently high on the agenda.
After revision:  By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are inadequate for many practical contexts , including areas of research, such as computational epidemiology, which are recently high on the agenda.