Affiliation:
1. School of Marxism , Xi’an International Studies University , Xi’an , Shaanxi , , China .
2. Chang’an No.8 Middle School of Xi’an , Xi’an , Shaanxi , , China .
Abstract
Abstract
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.
Reference14 articles.
1. Zou, F. (2019). Research on the external communication and translation studies of traditional chinese medicine culture under the background of “one belt and one road “. Advances in Higher Education, 3(4), 116.
2. Dinkelberg, A., MacCarron, Pádraig, Maher, P. J., & Quayle, M. (2021). Homophily dynamics outweigh network topology in an extended axelrod’s cultural dissemination model. Physica A: Statistical Mechanics and its Applications, 578.
3. Boutsi, A. M., Verykokou, S., Soile, S., & Ioannidis, C. (2021). Α pattern-based augmented reality application for the dissemination of cultural heritage. Copernicus GmbH.
4. Yuqing, Z., & Yueming, Y. (2022). The dissemination and inheritance of the local culture under the new media environment. Academic Journal of Humanities & Social Sciences.
5. Wang, P., & Feng, X. (2021). Research on the application of computer technology in the dissemination and promotion of folk art culture. Journal of Physics: Conference Series, 1744(3), 032197 (3pp).