Influence Evaluation Model of Microblog User Based on Gaussian Bayesian Derivative Classifier-Reference-Cited by-同舟云学术

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

Published:2022-08-17 Issue: Volume:2022 Page:1-7
ISSN:1563-5147
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Zhou Chunliang¹^ORCID,Zhang Weipeng²,Lu Zhengqiu³,Meng Xiangpei⁴,Tan Cheng⁵,Xu Ying¹

Affiliation:

1. College of Finance & Information, Ningbo University of Finance & Economics, Ningbo 315175, Zhejiang, China

2. College of Digital Technology and Engineering, Ningbo University of Finance & Economics, Ningbo 315175, Zhejiang, China

3. School of Information & Technology, Zhejiang Fashion Institute of Technology, Ningbo 315211, China

4. Academic College, Ningbo University of Finance & Economics, Ningbo 315175, Zhejiang, China

5. Affiliated Hospital of Medical School of Ningbo University, Ningbo 315200, Zhejiang, China

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.

Funder

Zhejiang Philosophy and Social Science Project

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2022/5616445.pdf

Reference20 articles.

1. Mining topic sentiment in Microblogging based on multi-feature Fusion;H. Faliang;Chinese Journal of Computers,2016

2. Microblog community discovery algorithm based on dynamic topic model with Multidimensional data Fusion;L. Bingyu;Journal of Software,2017

3. A quantitative evaluation method of micro-blog user Authority based on multi-feature Fusion;Z. Yangsen;Acta Electronica Sinica,2017

4. Extended multi-modality Features and Deep learning based microblog short text sentiment analysis;S. Xiao;Journal of Electronics and Information Technology,2017

5. Survey on predicting information propagation in microblogs;L. Yang;Journal of Software,2016