An inside look into the complexity of box-office revenue prediction in China
In this article, we discuss various elements contributing to exerting influence on box office in China, which are divided into internal and external factors. Since these factors could merely be quantified by online data sources partially or inaccurately, we propose that relativity analysis is more r...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716684842 |
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| _version_ | 1832553268688977920 |
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| author | Jia Xiao Xin Li Shanzhi Chen Xuhui Zhao Meng Xu |
| author_facet | Jia Xiao Xin Li Shanzhi Chen Xuhui Zhao Meng Xu |
| author_sort | Jia Xiao |
| collection | DOAJ |
| description | In this article, we discuss various elements contributing to exerting influence on box office in China, which are divided into internal and external factors. Since these factors could merely be quantified by online data sources partially or inaccurately, we propose that relativity analysis is more reasonable than precise revenue prediction. Trailer is selected as the combination of movie content and online behavior prior to releasing. Indexes from seven mainstream video websites are retrieved by the designed big data system which is integrated with the Internet of things technology. Correlation coefficients of different time periods are calculated. We apply multiple linear regression with stepwise method in modeling and prove that watching counts of 1 week before releasing on Youku is the barometer of market performance, especially the first week revenues. We also manifest the power of influential users through constructing Sina Weibo acquisition and analysis system. |
| format | Article |
| id | doaj-art-7a13ac5ddaed40fda4980c96e8d72a44 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-7a13ac5ddaed40fda4980c96e8d72a442025-02-03T05:54:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-01-011310.1177/1550147716684842An inside look into the complexity of box-office revenue prediction in ChinaJia Xiao0Xin Li1Shanzhi Chen2Xuhui Zhao3Meng Xu4State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Wireless Mobile Communications, China Academy of Telecommunications Technology, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaIn this article, we discuss various elements contributing to exerting influence on box office in China, which are divided into internal and external factors. Since these factors could merely be quantified by online data sources partially or inaccurately, we propose that relativity analysis is more reasonable than precise revenue prediction. Trailer is selected as the combination of movie content and online behavior prior to releasing. Indexes from seven mainstream video websites are retrieved by the designed big data system which is integrated with the Internet of things technology. Correlation coefficients of different time periods are calculated. We apply multiple linear regression with stepwise method in modeling and prove that watching counts of 1 week before releasing on Youku is the barometer of market performance, especially the first week revenues. We also manifest the power of influential users through constructing Sina Weibo acquisition and analysis system.https://doi.org/10.1177/1550147716684842 |
| spellingShingle | Jia Xiao Xin Li Shanzhi Chen Xuhui Zhao Meng Xu An inside look into the complexity of box-office revenue prediction in China International Journal of Distributed Sensor Networks |
| title | An inside look into the complexity of box-office revenue prediction in China |
| title_full | An inside look into the complexity of box-office revenue prediction in China |
| title_fullStr | An inside look into the complexity of box-office revenue prediction in China |
| title_full_unstemmed | An inside look into the complexity of box-office revenue prediction in China |
| title_short | An inside look into the complexity of box-office revenue prediction in China |
| title_sort | inside look into the complexity of box office revenue prediction in china |
| url | https://doi.org/10.1177/1550147716684842 |
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