黑龙江八一农垦大学学报Issue(3)：58-60,124,4.DOI:10.3969/j.issn.1002-2090.2014.03.014
随机-择优网络的结构控制及其传播阈值研究
Structure Control and Spreading Threshold Research in Random-Preferential Networks
摘要
Abstract
The random-preference integration evolvement network model was proposed,which could analyze the characteristics of the random and scale-free networks. In the model,a new probability (p) was introduced,and p was the random probability of connecting the new node with the old one. 1-p was the preferential probability that connected the new node with the old one. The p scale was from 0 to 1. The network spreading threshold was 0,if the p was 0. Its value would become positive,if the p is more than 0. The study of this model could illuminate the mechanism underneath the network structure evolvement. At the same time,it could provide data for the optimization of the network structure design and be helpful for the control of the spread of virus infection.关键词
复杂网络/病毒传播/临界传播阈值/随机/择优Key words
complex networks/virus spreading/critical spreading threshold/random/preference分类
信息技术与安全科学引用本文复制引用
王春香,周海平,赖兵兵,陈佰树,陈丽梅..随机-择优网络的结构控制及其传播阈值研究[J].黑龙江八一农垦大学学报,2014,(3):58-60,124,4.基金项目
国家自然科学基金（11247286）；贵州省自然科学基金（LGK［2013］53）。 （）
