Influence Evaluation Model of Microblog User Based on Gaussian Bayesian Derivative Classifier

Chunliang Zhou, Weipeng Zhang, Zhengqiu Lu, Xiangpei Meng, Cheng Tan, Ying Xu and Zaoli Yang

Mathematical Problems in Engineering, 2022, vol. 2022, 1-7

Abstract: In order to depict the influence of Weibo user, an evaluation model is proposed with Gaussian Bayesian derivatives. At first, the influence indexes of Weibo user is presented in this model with activity degree, relation degree, and coverage degree. Combining the relationship characteristics between users and behavioral characteristics of user, the solved method for this model is given by Gaussian Bayesian derivatives. At last, a simulation is conducted to study the influence factor with experiment data of Sina Weibo users. The results show that, compared to other algorithm, this method has good adaptability.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5616445

DOI: 10.1155/2022/5616445

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