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.
Keywords
Cite This Article
L. Chen, L. Hong and J. Liu, "Analysis and prediction of new media information dissemination of police microblog,"
Journal of New Media, vol. 2, no.2, pp. 91–98, 2020.