Study of the Influence on Beauty Brands and Their Products from Chinese Social Network: From the Perspective of Big Data
Authors: 
Yaoyang Wu, 
Simon Fong, Tengyue LiAuthors Info & Claims
Yaoyang Wu, Simon Fong, Tengyue LiAuthors Info & ClaimsPages 7 - 12
Abstract
In this paper, we will discuss how the social networking site could affect beauty brands and their products on various aspects. Research will be focused on Chinese social networking site - Sina Weibo, and its effect on the beauty product market specifically in Mainland China. Result and analysis of this study would be useful and could be extended for other kind of data analysis businesses and commercial fields.
References
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Heqiang, Z. 2011. Preliminary study on weibo marketing statues and its evelopment trend. News World Journal, 2011. Vol.4, pp.100--101.
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Zeyun, M. 2012. The value and strategy of weibo marketing for business industries. Productivity Research Journal, 2012. Vol.1, pp. 153--155.
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Young Ae, K. Jaideep, S. Impact of social influence in e-commerce decision making, ICEC '07 Proceedings of the ninth international conference on Electronic. -commerceSannella, M. J. 1994. Constraint Satisfaction and Debugging for Interactive User Interfaces. Minneapolis, MN, USA - August 19 - 22, 2007. ACM New York, NY, USA, 293--302.
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Francesco, B. Carlos, C. Aristides, G. Alejandro, J. Social Network Analysis and Mining for Business Applications. ACM Transactions on Intelligent Systems and Technology (TIST), 2011. Vol.2, Issue.3, No.22. ACM New York, NY, USA.
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Xiaoqiao, H. Isentia ® Media Monitoring & Analysis Tools and Services. 2016. An observation report: How the YSL Star Clash became a hit? http://www.isentia.com.cn/blog/ysl-social-media-marketing
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Weibo Data Center. 2016. 2016 official data report for beauty products on weibo. December 2016. http://data.weibo.com/report/reportDetail?id=345
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Weibo Data Center. 2016. 2016 official data report for beauty products on weibo. December 2017. http://data.weibo.com/report/reportDetail?id=397
Index Terms
- Study of the Influence on Beauty Brands and Their Products from Chinese Social Network: From the Perspective of Big Data
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Information
Published In
October 2018
217 pages
ISBN:9781450365192
DOI:10.1145/3289430
Copyright © 2018 ACM.
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- Deakin University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 October 2018
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- Research-article
- Research
- Refereed limited
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- FDCT Macau
Conference
BDIOT 2018
BDIOT 2018: 2018 2nd International Conference on Big Data and Internet of Things
October 24 - 26, 2018
Beijing, China
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Overall Acceptance Rate 75 of 136 submissions, 55%
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