October 22, 2018 | Romualdo Pastor-Satorras, Alexei Vázquez, Alessandro Vespignani
The paper by Pastor-Satorras, Vázquez, and Vespignani explores the topological and dynamical properties of the Internet over a three-year period. They analyze real Internet maps collected by the National Laboratory for Applied Network Research (NLANR) from 1997 to 2000. The study reveals that the Internet exhibits scale-free characteristics, with a power-law connectivity distribution and non-trivial correlations among nodes. The authors identify two distinct wiring processes: one for newly added nodes and another for existing nodes increasing their interconnections. They also highlight the importance of node hierarchy and aging in the Internet's structure and growth. The analysis suggests that the Internet's topological properties have settled into a stationary state, and the preferential attachment model, with a linear relationship between new links and node connectivity, is consistent with the observed dynamics. The findings provide insights into more realistic modeling of the Internet's evolution and its resilience to attacks and spreading phenomena.The paper by Pastor-Satorras, Vázquez, and Vespignani explores the topological and dynamical properties of the Internet over a three-year period. They analyze real Internet maps collected by the National Laboratory for Applied Network Research (NLANR) from 1997 to 2000. The study reveals that the Internet exhibits scale-free characteristics, with a power-law connectivity distribution and non-trivial correlations among nodes. The authors identify two distinct wiring processes: one for newly added nodes and another for existing nodes increasing their interconnections. They also highlight the importance of node hierarchy and aging in the Internet's structure and growth. The analysis suggests that the Internet's topological properties have settled into a stationary state, and the preferential attachment model, with a linear relationship between new links and node connectivity, is consistent with the observed dynamics. The findings provide insights into more realistic modeling of the Internet's evolution and its resilience to attacks and spreading phenomena.