Open Access

ARTICLE

Analysis and Prediction of New Media Information Dissemination of Police Microblog

Leyao Chen, Lei Hong^*, Jiayin Liu

Jiangsu Police Institute, Nanjing, 210000, China

* Corresponding Author: Lei Hong. Email:

Journal of New Media 2020, 2(2), 91-98. https://doi.org/10.32604/jnm.2020.010125

Received 20 February 2020; Accepted 20 February 2020; Issue published 21 August 2020

Abstract

This paper aims to analyze the microblog data published by the official account in a certain province of China, and finds out the rule of Weibo that is easier to be forwarded in the new police media perspective. In this paper, a new topic-based model is proposed. Firstly, the LDA topic clustering algorithm is used to extract the topic categories with forwarding heat from the microblogs with high forwarding numbers, then the Naive Bayesian algorithm is used to topic categories. The sample data is processed to predict the type of microblog forwarding. In order to evaluate this method, a large number of microblog online data is used to analysis. The experimental results show that the proposed method can accurately predict the forwarding of Weibo.

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Keywords

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