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

被引：0
|
作者：
Zhou, Chunliang [1 ]
Zhang, Weipeng [2 ]
Lu, Zhengqiu [3 ]
Meng, Xiangpei [4 ]
Tan, Cheng [5 ]
Xu, Ying [1 ]
机构：
[1] Ningbo Univ Finance & Econ, Coll Finance & Informat, Ningbo 315175, Zhejiang, Peoples R China
[2] Ningbo Univ Finance & Econ, Coll Digital Technol & Engn, Ningbo 315175, Zhejiang, Peoples R China
[3] Zhejiang Fash Inst Technol, Sch Informat & Technol, Ningbo 315211, Peoples R China
[4] Ningbo Univ Finance & Econ, Acad Coll, Ningbo 315175, Zhejiang, Peoples R China
[5] Ningbo Univ, Affiliated Hosp, Med Sch, Ningbo 315200, Zhejiang, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷
关键词：
D O I：
10.1155/2022/5616445
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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页数：7
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