Innovation of Chinese Culture External Communication Based on Multivariate Statistical Analysis

被引:0
|
作者
Fan P. [1 ]
Wang B. [2 ]
机构
[1] School of Marxism, Xi'An International Studies University, Shaanxi, Xi'an
[2] Chang'An No.8 Middle School of xi'An, Shaanxi, Xi'an
关键词
Chinese Culture; Cultural Communication Model; Factor Analysis; Pearson Test; Principal Component Analysis;
D O I
10.2478/amns.2023.2.01676
中图分类号
学科分类号
摘要
With the development of economic globalization, the influence produced by cultural soft power has an irreplaceable role in the comprehensive strength of a country. In this paper, principal component analysis is used to classify the main factors affecting the effect of cultural communication, and factor analysis is combined to construct the effect dimensions of Chinese cultural communication. Pearson's correlation is used to test the correlation between the effect of cultural communication and the four communication factors: degree of cultural satisfaction, degree of cultural cognition, development prospect and degree of publicity. From the perspective of social media information dissemination, a cultural communication model is constructed by combining social networks and used to analyze the effects of cultural communication. Combined with the effect of Chinese culture's communication with the outside world, a communication path to optimize communication media to improve media influence rates is proposed. The results show that the correlation coefficient between the communication effect and the satisfaction degree factor is 0.348∗∗, and the correlation with the publicity factor is 0.317∗∗, of which the most relevant to the communication effect is the cultural cognition factor, with a correlation of 0.412∗∗. The number of cultural communicators first shows an increasing trend and reaches the maximum value at the moment of t=7, then gradually decreases from the maximum value and finally decreases to 0 at t=15. The influence of cultural communication in the network increases as the media influence rate increases. © 2023 Pengfei Fan et al., published by Sciendo.
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