An Overview of Research on Big Data in Economics Based on Bibliometric Software Citespace and CSSCI Database
- DOI
- 10.2991/jahp-18.2018.36How to use a DOI?
- Keywords
- big data; research hotspots; the evolution of hotspots; basic knowledge
- Abstract
Big data itself and big data technology are affecting the development of society, and thus affect the economic research. In order to fully understand the research hotspots and development trends of big data in the field of Chinese economics, this article shows the overview of the big data researches based on the Chinese Social Science Citation Index (CSSCI), with the software CitespaceV, which takes “big data” as the key word, and “economics” as the literature category. The progresses of big data researches in the field of economics are reviewed, and the existing literatures from three aspects, namely research hotspots, evolution of research hotspots and research basic knowledge are compared and analyzed. This research shows that: 1) The hotspots of the researches are “big data”, “internet finance”, “cloud computing”, “data mining”, “smart cities”, “precision poverty alleviation”, etc.; 2) Big data appears in the “Internet of Things” clustering at first and gradually evolves to “online shopping”, “internet finance”, and “classified networks” clustering; 3) The high-cited literatures on big data have gone through the stages from theory to application, and applications have focused on taxation and auditing.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Limei Guo PY - 2018/08 DA - 2018/08 TI - An Overview of Research on Big Data in Economics Based on Bibliometric Software Citespace and CSSCI Database BT - Proceedings of the 3rd International Conference on Judicial, Administrative and Humanitarian Problems of State Structures and Economic Subjects (JAHP 2018) PB - Atlantis Press SP - 177 EP - 181 SN - 2352-5398 UR - https://doi.org/10.2991/jahp-18.2018.36 DO - 10.2991/jahp-18.2018.36 ID - Guo2018/08 ER -