Note on the Complex Networks and Epidemiology Part I: Complex Networks
Abstract
Complex networks describe a wide range of systems in nature and society. Frequently cited examples include Internet, WWW, a network of chemicals linked by chemical reactions, social relationship networks, citation networks, etc. The research of complex networks has attracted many scientists' attention. Physicists have shown that these networks exhibit some surprising characters, such as high clustering coefficient, small diameter, and the absence of the thresholds of percolation. Scientists in mathematical epidemiology discovered that the threshold of infectious disease disappears on contact networks that following Scale-Free distribution. Researchers in economics and public health also find that the imitation behavior could lead to cluster phenomena of vaccination and un-vaccination. In this note, we will review the basic concepts of complex networks; Basic epidemic models; the development of complex networks and epidemiology.
Cite
@article{arxiv.1302.4024,
title = {Note on the Complex Networks and Epidemiology Part I: Complex Networks},
author = {James Kim},
journal= {arXiv preprint arXiv:1302.4024},
year = {2013}
}
Comments
arXiv admin note: text overlap with arXiv:cond-mat/0106096 by other authors