Research on the Employment Quality of College Graduates—Visual Analysis based on CNKI Literature Keywords
- DOI
- 10.2991/icmess-18.2018.283How to use a DOI?
- Keywords
- College graduates; Employment quality; Visualization; Research hotspot
- Abstract
Under the background of the increasingly severe employment situation, the employment quality of college graduates has garnered a great deal of attention. In order to understand the status quo and trends of employment quality research, and to explore the hot spot of the present research on the quality of employment. This research is based on the current status of employment quality research, and uses high-frequency keyword frequency analysis and social network analysis methods to perform statistical analysis on the total of 587 keywords in 2000-2017 journal articles retrieved from the search. The results of the study show that clear definition of the main body of employment quality, specifically divided into employers, college graduates, colleges and labor market four objects; The analysis method is diversified, involving many subject areas, and the evaluation dimension gradually develops to a deeper level; Among the employment quality indicators, the three prominent hotspot indicators are employment ability, employment rate, and job satisfaction, the index covers a wide range of perspectives and highlights the hot spots of employment quality research.
- 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 - Jingwen Si PY - 2018/06 DA - 2018/06 TI - Research on the Employment Quality of College Graduates—Visual Analysis based on CNKI Literature Keywords BT - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 1284 EP - 1288 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.283 DO - 10.2991/icmess-18.2018.283 ID - Si2018/06 ER -