  We study the large-scale topological and dynamical properties of real
Internet maps at the autonomous system level, collected in a three years time
interval. We find that the connectivity structure of the Internet presents
average quantities and statistical distributions settled in a well-defined
stationary state. The large-scale properties are characterized by a scale-free
topology consistent with previous observations. Correlation functions and
clustering coefficients exhibit a remarkable structure due to the underlying
hierarchical organization of the Internet. The study of the Internet time
evolution shows a growth dynamics with aging features typical of recently
proposed growing network models. We compare the properties of growing network
models with the present real Internet data analysis.
