Analysis of Research Hotspots on Big Data in Education: From Bibliometrics Perspective

DOI

10.2991/msie-16.2016.4How to use a DOI?

Keywords

big data; education; learning analysis; co-occurrence analysis.

Abstract

This paper used data retrieved from Web of Science database as datasets to analyze the research area of big data in education. Based on the bibliometrics method, the basic characteristics of authors, institutions, and cited references, et al. are described. The visualization of keywords co-occurrence map was presented using Cite Space software. Based on the discussion above, this paper summarized the research status, hotspots and trends.

Copyright

© 2016, 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/).

Download article (PDF)

TY  - CONF
AU  - Weiwei Wang
PY  - 2016/10
DA  - 2016/10
TI  - Analysis of Research Hotspots on Big Data in Education: From Bibliometrics Perspective
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 14
EP  - 19
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.4
DO  - 10.2991/msie-16.2016.4
ID  - Wang2016/10
ER  -