Router-level Internet as a local-world weighted evolving network

dynamics, data traffics and network topology is critical to the network evolution and per-formance evaluation. Using the router-level Internet as a precise case study, this paper discusses a model that describes the growth of local-world weighted complex networks. This model combines the new vertices and new edges with the dynamical evolution of the weights locally, thereby generating a growing network with many statistical properties observed from real-world network examples. In particular, the model yields non-trivial time evolution of various vertex properties, including such as exponential and scale-free distributions of weights, strengths and degrees.