Open AccessEvaluation of influencing factors of TV series on network based on multivariate statistical analysis
Author(s) -
Yawen Hou,
J. L. Hu,
Yang Yang,
Lu Dong
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/5/052009
Subject(s) - bivariate analysis , publicity , degree (music) , series (stratigraphy) , computer science , multivariate statistics , factor (programming language) , statistics , mathematics , machine learning , marketing , paleontology , physics , acoustics , business , biology , programming language
This paper aims to make a systematic study on the influencing factors of network broadcast quantity of TV drama by means of multivariate statistical method. Based on the multiple primary data indexes of TV series, this paper uses factor analysis to redefine three influencing factors-publicity degree, participation degree and topic degree, and builds the algorithm of each factor model. Then, through the bivariate correlation analysis, it can be concluded that the participation degree is most related to the network broadcast quantity of TV series. After evaluating the limitations of the research process reasonably, the revelation and conclusion of promoting the development of TV dramas are drawn.