Data Analysis and Knowledge Discovery  2021, Vol. 5 Issue (12): 74-87    DOI: 10.11925/infotech.2096-3467.2021.0402
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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
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Abstract

[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.

Received: 25 April 2021      Published: 20 January 2022
 ZTFLH: G206
Fund:National Social Science Found of China(18BTQ079)
Corresponding Authors: Yang Siluo,ORCID：0000-0003-3228-1102     E-mail: 58605025@qq.com
 The SIR Model WeChat Public Account Content Transmission Chain Individual State Division in the Model Two-layer Transmission Model of WeChat Public Account Combined with Bass Model and SIR Model Transmission Data Within 7 Days After the Article was Issued Best Fit Parameters Simulation Changes in Article Spread Based on Best-fitting Parameters Variation of Article Diffusion Velocity Based on Best-fitting Parameters Comparison of Simulated Situation with Actual Data p on the Transmission Process"> The Influence of Different Innovation Coefficient $p$ on the Transmission Process q on the Transmission Process"> The Influence of Different Imitation Coefficient $q$ on the Transmission Process β on the Transmission Process"> The Influence of Different Sharing Coefficient $β$ on the Transmission Process γ on the Transmission Process"> The Influence of Different Immunity Coefficient $γ$ on the Transmission Process F 0 and $N F 0$） on the Transmission Process"> When the Parameter is Fixed, the Influence of Different Initial Conditions （the Proportion of $F 0$ and $N F 0$） on the Transmission Process