The Research on Co-authorship Network in Medical Information Education in China

DOI

10.2991/icsshe-16.2016.125How to use a DOI?

Keywords

medical information education, co-authorship network, social network analysis

Abstract

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.

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/).

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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  -