Understanding the internet topology evolution dynamics
Abstract
The internet structure is extremely complex. The Positive-Feedback Preference (PFP) model introduced recently is a precise and complete internet topology generator. The model uses two synthetic algorithms which replicate the evolution dynamics observed on the internet historic data. The phenomenological model was originally designed to match only two topology properties of the internet, i.e. the rich-club connectivity and the exact form of degree distribution. Whereas numerical evaluation has shown that the PFP model accurately reproduces a large set of other nontrivial characteristics as well. This paper aims to investigate why and how this generative model captures so many diverse properties of the internet. Based on comprehensive numerical simulations, the paper presents a detailed analysis on the exact origin of each of the topology properties produced by the model. This work reveals the interactions between internet evolution mechanisms and the generated topology properties and it also provides insights on the correlations between various structural characteristics of complex networks.Keywords
All Related Versions
This publication has 0 references indexed in Scilit: