The Research on Co-authorship Network in Medical Information Education in China
- 10.2991/icsshe-16.2016.125How to use a DOI?
- medical information education, co-authorship network, social network analysis
In this paper, CNKI data is the main sources, Chongqing VIP data and Wanfang data are the supplementary sources. It uses the method of social network analysis and visualization technology to analyze the characteristics about overall and local structure on co-authorship network in medical information education in China. The study found that the scale of integrated co-authorship network is large, the average degree of network is larger, the density of network is smaller, the average clustering coefficient is larger, the centrality of network is smaller; in most cases the co-authorship is in the internal agency cooperation in early stage, the partnership is undecided, in recent years, inter-agency co-authorship is widespread. The tightness of co-authorship network needs to be improved; the cooperation and exchange between the institutions need to be strengthened.
- © 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/).
Cite this article
TY - CONF AU - Li Bian AU - Xiaoli Wang AU - Zhen Zhao PY - 2016/07 DA - 2016/07 TI - The Research on Co-authorship Network in Medical Information Education in China BT - Proceedings of the 2016 2nd International Conference on Social Science and Higher Education PB - Atlantis Press SP - 496 EP - 501 SN - 2352-5398 UR - https://doi.org/10.2991/icsshe-16.2016.125 DO - 10.2991/icsshe-16.2016.125 ID - Bian2016/07 ER -