Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
---|---|---|
Article Number | 01019 | |
Number of page(s) | 5 | |
Section | Big Data Analysis Application and Energy Consumption Research | |
DOI | https://doi.org/10.1051/e3sconf/202021401019 | |
Published online | 07 December 2020 |
The Development Trend of Cultural Added Value Research Based on Big Data Analysis
Beijing Information Science and Technology University Graduate school of economics and management Beijing, China
a e-mail: niyuan230@163.com
b e-mail: 1046062198@qq.com
c e-mail: 13161639206@163.com
d e-mail: 1033117679@qq.com
Cultural added value refers to the value added generated by the combination of cultural elements and different forms of carrier. It shapes the uniqueness of cultural products, not only satisfies the cultural spiritual enjoyment of consumers and helps enterprises build a unique cultural brand image, but also promotes excellent traditional culture and spreads positive cultural values. However, its research is still in an initial stage. The relevant concepts and context are not clear enough and lack of systematic combing. Therefore, this paper takes 354 relevant articles as data samples for the following analysis. Firstly, we used the method of bibliometric analysis to sort out its publishing trend and regional distribution. Secondly, we used social network analysis method to identify research hotspots in this field and analyzed its evolution trend. Thirdly, cluster analysis was used to identify relevant research topics in the field of cultural appreciation, and literature review was conducted around these three clustering topics. Finally, the future research direction of this field is proposed based on the above contents.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.