Derived information dynamics transmission in the Chinese Sina-microblog

As the largest social media platform in China, Sina-microblog is characterized by instant interaction, which makes thousands of pieces of data and information spread at each time. Based on this, this paper makes an in-depth analysis of the mechanism of single information transmission on Weibo, constructs a derived information transmission dynamics model with considering the linear retention rate based on the classical infectious disease model, and introduces the least square function LS to perform curve fitting for real data, to obtain the optimal parameter vector of the model. The early prediction of microblog information diffusion is realized.