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Modeling and Analysis of WeChat Official Account Information Dissemination Based on SEIR
oleh: CHANG Ya-wen, YANG Bo, GAO Yue-lin, HUANG Jing-yun
Format: | Article |
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Diterbitkan: | Editorial office of Computer Science 2022-04-01 |
Deskripsi
In the era of mobile Internet, it has become an irreversible trend that the social relationship chain goes online.The appearance of WeChat official account not only improves the convenience of information acquisition, but also increases the difficulty of system information governance.The research about the dissemination process of official account information on the WeChat social network and curbing the spread of rumors on social networks become the focus of WeChat operators and social regulator authorities.Based on the SEIR infectious disease model, this paper uses the real operating data provided by Beijing Sootoo Company to calculate and simulate the mutual conversion probability of the S-state, E-state, I-state and R-state users, and restores the whole link process of official account information dissemination on WeChat social network.In addition, this paper also quantitatively analyzes the influence of the number of official account fans, the influence of fans, the infection probability P1 of susceptible users into exposed users, and the dissemination probability P2 of exposed users into infected users on the process of information dissemination, which proves the effectiveness of the key opinion leader's forced immunization strategy in suppressing information dissemination.