Variability of contact process in complex networks
نویسندگان
چکیده
منابع مشابه
Variability of Contact Process in Complex Networks
We study numerically how the structures of distinct networks influence the epidemic dynamics in contact process. We first find that the variability difference between homogeneous and heterogeneous networks is very narrow, although the heterogeneous structures can induce the lighter prevalence. Contrary to non-community networks, strong community structures can cause the secondary outbreak of pr...
متن کاملOptimal contact process on complex networks.
Contact processes on complex networks are a recent subject of study in nonequilibrium statistical physics and they are also important to applied fields such as epidemiology and computer and communication networks. A basic issue concerns finding an optimal strategy for spreading. We provide a universal strategy that, when a basic quantity in the contact process dynamics, the contact probability ...
متن کاملPhase transitions in the quadratic contact process on complex networks.
The quadratic contact process (QCP) is a natural extension of the well-studied linear contact process where infected (1) individuals infect susceptible (0) neighbors at rate λ and infected individuals recover (1→0) at rate 1. In the QCP, a combination of two 1's is required to effect a 0→1 change. We extend the study of the QCP, which so far has been limited to lattices, to complex networks. We...
متن کاملEpidemic variability in complex networks.
We study numerically the variability of the outbreak of diseases on complex networks. We use a susceptible-infected model to simulate the disease spreading at short times in homogeneous and in scale-free networks. In both cases, we study the effect of initial conditions on the epidemic dynamics and its variability. The results display a time regime during which the prevalence exhibits a large s...
متن کاملSimultaneous Monitoring of Multivariate-Attribute Process Mean and Variability Using Artificial Neural Networks
In some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. In this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chaos: An Interdisciplinary Journal of Nonlinear Science
سال: 2011
ISSN: 1054-1500,1089-7682
DOI: 10.1063/1.3664403