有向重叠社区下考虑兴趣度的谣言免疫策略研究  

Rumor Immunization Strategy with Community Interest Degree in Directed Overlapping Community

作　　者：闫涵 康海燕[1] YAN Han;KANG Haiyan(School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China)

机构地区：[1]北京信息科技大学信息管理学院,北京100192

出　　处：《郑州大学学报（理学版）》2020年第4期82-88,95,共8页Journal of Zhengzhou University:Natural Science Edition

基　　金：教育部人文社科项目(20YJAZH046);国家自然科学基金项目(61370139);北京信息科技大学科研水平提高项目(5211910933)。

摘　　要：现有的免疫策略大多没有考虑网络特征或没有考虑节点的异构性,所以社交网络中需要有一个符合网络结构的谣言免疫策略来抑制谣言传播。提出了有向重叠社区下考虑兴趣度的谣言免疫策略。首先,提出了考虑社区兴趣度的有向重叠社区模型,加入兴趣度用于确定免疫节点所在的社区;其次,采用富节点与特殊富节点的方式选择免疫节点;最后,利用以上两个方法实现考虑兴趣度的谣言免疫策略。仿真实验结果表明,此谣言免疫策略更适合社交网络,且能够有效抑制谣言的传播。The network or the heterogeneity of nodes was not considered in most of the immunization strategies.Social network should have a rumor immunization strategy to inhibit rumors.To solve the above problems,a rumor immunization strategy considering interest degree under directed overlapping communities was proposed.Firstly,the directed overlapping communities model with community interest degree was proposed.Interest degree was added to the community to determine the community where the immune node was located.Secondly,the rich node and special rich node were used to select the immune node.Finally,the above two methods were used to implement a rumor immunization strategy considering community interest degree.The simulation results showed that the rumor immunization strategy was more suitable for social networks,and could effectively inhibit spreading rumors.

关 键 词：谣言 免疫策略 重叠社区结构 复杂网络 

分 类 号：TP393.01[自动化与计算机技术—计算机应用技术]