Modeling and Analysis of Community Group Buying Product Information Dissemination Based on SEIR Model
Abstract
the WeChat social network based on the improved SEIR epidemic model, studies the dynamic information dissemination process of products
in the WeChat social network, and compares the user’s total number, infection probability and group effect on information dissemination.
The results show that the user’s total number is positively correlated with the information dissemination breadth, the larger the infection
probability , the more users receive the information, the faster the information dissemination speed, the interest threshold in the group effect
is positively correlated with the information dissemination speed, and the quality of the product will have a certain impact on the interest
threshold. This paper has some reference value for the product information push mechanism and environment optimization of the community
group buying platform.
Keywords
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DOI: https://doi.org/10.18686/mcs.v5i6.2166
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