@Article{jnm.2020.010125,
AUTHOR = {Leyao Chen, Lei Hong, Jiayin Liu},
TITLE = {Analysis and Prediction of New Media Information Dissemination of Police  Microblog},
JOURNAL = {Journal of New Media},
VOLUME = {2},
YEAR = {2020},
NUMBER = {2},
PAGES = {91--98},
URL = {http://www.techscience.com/JNM/v2n2/39937},
ISSN = {2579-0129},
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.},
DOI = {10.32604/jnm.2020.010125}
}