Two-layer Transmission Model of WeChat Public Account with Bass Model and SIR Model
Yang Siluo(),Xiao Aoxia
School of Information Management, Wuhan University, Wuhan 430072, China Research Center for Chinese Science Evaluation (RCCSE), Wuhan University, Wuhan 430072, China
[Objective] This paper constructs a double-layer transmission model for the content transmission of WeChat public accounts with the help of Bass model. [Methods] First, we analyzed the transmission process of the WeChat official account articles. Then, we developed a two-layer model combining the Bass diffusion model and the SIR model. Third, we conducted KS test using data from the public account of “Library and Information Conference”. Finally, we analyzed the parameters and the initial conditions of the model with Python. [Results] The new model simulated the transmission process of the public account contents. The probability of readers no longer sharing, as well as the non-subscribers’ exposure to information from other's sharing, have greater impacts on the dissemination of contents. [Limitations] This model did not include the complex network model for further analysis and did not study articles accessed by more than 100,000 times. [Conclusions] The proposed model could help us monitor the dissemination of WeChat public account contents and manage online opinion.
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Yang Siluo, Xiao Aoxia. Two-layer Transmission Model of WeChat Public Account with Bass Model and SIR Model. Data Analysis and Knowledge Discovery, 2021, 5(12): 74-87.
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