【摘要】 随着互联网的发展，网络中不良信息的数量呈现出快速增长的趋势，对于社会的稳定与安全构成了威胁．传统的在线社交网络不良信息抑制方法存在效率低、实时性差等问题，为此提出一种基于改进反向可达集的在线社交网络不良信息抑制方法．分析现有的网络不良信息抑制方法，介绍了反向可达集的概念和原理，基于六度分隔理论，提出一种改进反向可达集的生成方法，并进一步提出一种不良信息抑制方法 IRRIMM．通过在真实的社交网络数据集中的实验验证了所提出方法的有效性．更多还原

【Abstract】 With the development of the Internet,the bad information in online social networks presents the trend of rapidly growth,posing a threat to the stability and security of society.Traditional methods for suppressing bad information in online social networks suffer from issues such as low efficiency and poor real-time performance.Therefore,proposes an improved reverse reachable set based bad information suppression method in online social networks.Firstly,analysis the existing methods for suppressing bad information,and introduces the concept and principles of the reverse reachable set.Then,building on the theory of six degrees of separation,proposes an improved method for generating the reverse reachable set,and further puts forward a bad information suppression method called IRRIMM.Finally,experiments on real social dataset prove the effectiveness of the proposed method.更多还原