Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (19): 105-113.DOI: 10.3778/j.issn.1002-8331.1907-0414

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Information Dissemination of Social Network in Improved SCIR Information Propagation Model

FANG Jinhao, QIAN Xiaodong   

  1. 1.School of Electrical and Automation Engineering, Lanzhou Jiaotong University, Lanzhou  730070, China
    2.School of Economics and Management, Lanzhou Jiaotong University, Lanzhou  730070, China
  • Online:2020-10-01 Published:2020-09-29



  1. 1.兰州交通大学 自动化与电气工程学院,兰州 730070
    2.兰州交通大学 经济管理学院,兰州 730070


Retransmission is the momentous way for information dissemination on the social network. Researching user’s behavior patterns will help monitor and dominate the propagation of topics on the internet. In the current research, the existing models generally lack timeliness, and user’s behaviors are difficult to describe accurately. Therefore, this paper analyzes the properties of the current social networks and improves the mathematic model. Firstly, the paper improves the retransmission probability calculation based on the user connection strength and the influence of neighbor nodes. Secondly, among the classic infectious disease dynamics SCIR model, the paper introduces online and offline state of nodes, through the user online ratio control network activity. The simulation results show that the proposed model has better stability and coverage than the traditional SCIR model in the information dissemination process. The nodes variety trend gets closer to the real network, which can better simulate the propagation of hot topics in social networks.

Key words: information dissemination, social network, customer behavior, infectious disease



关键词: 信息传播, 社交网络, 用户行为, 传染病模型