Scale-free networks versus evolutionary drift

Fault Diagnosis in Scale-Free versus Random Networks

Cost-efficient problem detection and localization is one of the key requirements to a selfmanaging system. In this paper, we consider detection and diagnosis (localization) of faults in large-scale computer networks and distributed systems. Particularly, we investigate the effects of network topology (e.g., scale-free versus random graphs) on the cost-efficiency of detection and diagnosis in te...

Exactly scale-free scale-free networks

Many complex natural and physical systems exhibit patterns of interconnection that conform, approximately, to a network structure referred to as scale-free. Preferential attachment is one of many algorithms that have been introduced to model the growth and structure of scale-free networks. With so many different models of scale-free networks it is unclear what properties of scale-free networks ...

Deterministic Scale-Free Networks

Scale-free networks are abundant in nature, describing such diverse systems as the world wide web, the web of human sexual contacts, or the chemical network of a cell. All models used to generate a scale-free topology are stochastic, that is they create networks in which the nodes appear to be randomly connected to each other. Here we propose a simple model that generates scale-free networks in...

Scale-free networks

Revisiting "scale-free" networks.

Recent observations of power-law distributions in the connectivity of complex networks came as a big surprise to researchers steeped in the tradition of random networks. Even more surprising was the discovery that power-law distributions also characterize many biological and social networks. Many attributed a deep significance to this fact, inferring a "universal architecture" of complex system...