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

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.