可变聚类无标度网络上的谣言免疫策略
发布时间:2018-10-10 07:35
【摘要】:提出一种聚类免疫策略,使用改进的经典谣言传播模型,在可变聚类无标度网络上研究其免疫效果.研究发现,聚类免疫的效果随着网络聚类系数的增加而变好.在不同聚类系数下,比较目标免疫、介数免疫、紧密度免疫和聚类免疫的免疫效果发现,无论网络的聚类特性如何,介数免疫始终是几种免疫策略中效果最好的,当网络聚类系数较大时,聚类免疫的效果超过紧密度免疫接近目标免疫,进一步增大网络的聚类系数,聚类免疫的效果超过目标免疫而接近介数免疫.
[Abstract]:A clustering immune strategy is proposed to study its immune effect on variable clustering scale-free networks using an improved classical rumour propagation model. It is found that the effect of clustering immunity is improved with the increase of network clustering coefficient. Under different clustering coefficients, the immune effects of target immunity, intermediate immunity, tightness immunity and clustering immunity were compared. It was found that, regardless of the clustering characteristics of the network, the intermediate immunity was always the best among several immune strategies. When the clustering coefficient of the network is large, the effect of clustering immunity is higher than that of tightness immunity and close to the target immunity, and the clustering coefficient of the network is further increased. The effect of clustering immunity is more than that of the target immunity, but the effect of clustering immunity is close to the medium immunity.
【作者单位】: 广西师范大学电子工程学院;
【基金】:国家自然科学基金(11062001,11165003)资助项目
【分类号】:TP393.02
[Abstract]:A clustering immune strategy is proposed to study its immune effect on variable clustering scale-free networks using an improved classical rumour propagation model. It is found that the effect of clustering immunity is improved with the increase of network clustering coefficient. Under different clustering coefficients, the immune effects of target immunity, intermediate immunity, tightness immunity and clustering immunity were compared. It was found that, regardless of the clustering characteristics of the network, the intermediate immunity was always the best among several immune strategies. When the clustering coefficient of the network is large, the effect of clustering immunity is higher than that of tightness immunity and close to the target immunity, and the clustering coefficient of the network is further increased. The effect of clustering immunity is more than that of the target immunity, but the effect of clustering immunity is close to the medium immunity.
【作者单位】: 广西师范大学电子工程学院;
【基金】:国家自然科学基金(11062001,11165003)资助项目
【分类号】:TP393.02
【参考文献】
相关期刊论文 前8条
1 熊文海;赵继军;S.Boccaletti;V.Latora;Y.Moreno;M.Chavezf;D.-U.Hwang;;复杂网络:结构与动力学(英文)[J];复杂系统与复杂性科学;2006年04期
2 张芳;司光亚;罗批;;谣言传播模型研究综述[J];复杂系统与复杂性科学;2009年04期
3 唐圣学;陈丽;黄姣英;;关联复杂网络建模及辨识研究[J];计算物理;2012年02期
4 乔健;樊莹;李国迎;;增长及非增长无标度网络的成因解析[J];计算物理;2013年02期
5 周涛,柏文洁,汪秉宏,刘之景,严钢;复杂网络研究概述[J];物理;2005年01期
6 潘灶烽;汪小帆;李翔;;可变聚类系数无标度网络上的谣言传播仿真研究[J];系统仿真学报;2006年08期
7 任卓明;刘建国;邵凤;胡兆龙;郭强;;复杂网络中最小K-核节点的传播能力分析[J];物理学报;2013年10期
8 胡庆成;尹煈q,
本文编号:2261179
本文链接:https://www.wllwen.com/guanlilunwen/ydhl/2261179.html