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社交网络不良信息传播模型研究
引用本文:安俊秀,曹书哲,王鹏.社交网络不良信息传播模型研究[J].成都信息工程学院学报,2014,29(3):255-260.
作者姓名:安俊秀  曹书哲  王鹏
作者单位:成都信息工程学院软件工程学院并行计算实验室,四川成都,610225
基金项目:国家社会科学基金资助项目,四川网络文化研究中心2013年度立项资助项目
摘    要:当前社交网络的信息传播模型主要是对病毒SIR模型的改进而形成的,因其主体不同而具有不完善性,为更好地揭示不良信息在社交网络中的传播规律,从而寻找预防和控制不良信息传播的最优方法。根据社交网络中信息传播的方式和特点,与传染病动力学理论结合构建出SEIR模型来研究不良信息在社交网络中的传播。模型定义了4种传播规则,分析不良信息在不同状态用户之间的传播过程,并且应用扩散核函数和空间协方差方程对相关参数进行了分析。最后通过对比实验说明调节控制率γ的大小对虚假信息在网络中的传播有一定的控制作用。

关 键 词:信息传播  社交网络  传染病动力学

The Model Research of Harmful Social Network Information Transmission
AN Jun-xiu,CAO Shu-zhe,WANG Peng.The Model Research of Harmful Social Network Information Transmission[J].Journal of Chengdu University of Information Technology,2014,29(3):255-260.
Authors:AN Jun-xiu  CAO Shu-zhe  WANG Peng
Institution:(Parallel Computing Lab, Chengdu University of Information Technology, Chengdu 610225, China)
Abstract:The current social network information transmission model is mainly formed by the improvement of the SIR virus model.It is not perfect because of their main body are different.In order to better reveal the harmful information propagation regulations in social networks and find out the optimal way to prevent and control the spread of harmful information,this paper is based on the way and characteristics of information transmission of social network and combined with dynamics of infectious disease to construct the SEIR model to study the spread of harmful information on social networks.This model defines the four kinds of propagation rules,analyzes the propagation process of harmful information amongst users with different states,moreover,it uses the diffusion kernel function and the spatial covariance equations to analyze relevant parameters.Finally,the contrast experiments show that adjusting the value of control rate of has a certain control effect on the spread of harmful information in the network.
Keywords:information spreading  social network  dynamics of infectious disease
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