We explore the geometry of complex networks in terms of an n-dimensional Euclidean embedding represented by the Moore–Penrose pseudo-inverse of the graph Laplacian (L+). The squared distance of a node i to the origin in this n-dimensional space (lii+), yields a topological centrality index,...

This paper explores the differences that can exist between individual and aggregate loss guarantees in an environment where guarantees are only provided at an aggregate level. The focus is on understanding which traffic parameters are responsible for inducing possible deviations and to what...