Data-driven Individual Influence Analysis: A Case Study of Chinese Film Industry
- DOI
- 10.2991/978-94-6463-058-9_31How to use a DOI?
- Keywords
- movie box office; influencing factors; Individual influence; regression analysis
- Abstract
With the development of China's economy and the prosperity of cultural industry, the development of film, as one of the representative products of cultural industry, has also shows an unstoppable trend. The box office of a film is a key indicator to measure the influence of a film. Therefore, a comprehensive analysis of the relevant factors of film influence can guide the healthy development of the film industry. This is of great significance to enhance the soft power of Chinese culture, carry forward Chinese culture and meet the growing cultural needs of the people. Through the statistical analysis of domestic (non animated) films with an annual box office of more than 100 million yuan released from 2015 to 2019, this paper studies the role of many factors on the influence of films by using the method of multiple linear regression. Finally, based on the experimental results, we put forward some suggestions to promote the development of individual influence in the film industry.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenxuan Li AU - Yinghong Ma AU - Lixin Zhao PY - 2022 DA - 2022/12/27 TI - Data-driven Individual Influence Analysis: A Case Study of Chinese Film Industry BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 173 EP - 177 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_31 DO - 10.2991/978-94-6463-058-9_31 ID - Li2022 ER -