关键词: 信息传播, 社交网络, 用户行为, 传染病模型

Abstract:

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