Large-scale topological and dynamical properties of the Internet.
We study the large-scale topological and dynamical properties of real Internet maps at the autonomous system level, collected in a 3-yr time interval. We find that the connectivity structure of the Internet presents 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.
International School for Advanced Studies SISSA/ISAS, via Beirut 4, 34014 Trieste, Italy.
Alexei
A
Vázquez
Romualdo
R
Pastor-Satorras
Alessandro
A
Vespignani