Research on Scientific Collaboration Social Network of Provincial Academy of Agricultural Sciences

DOI

10.2991/hss-17.2017.110How to use a DOI?

Keywords

Provincial Academy of Agricultural Sciences, Social network analysis, Co-authorship social network, Scale-free network.

Abstract

A research was conducted on the co-authorship social network of Guangdong Academy of Agricultural Sciences by using bibliometrics and social network analysis (SNA), then statistics and analysis were conducted on the three statistic characteristics of scale-free network: average network path length, node degree distribution and condensed subsets. Results showed that Guangdong Academy of Agricultural Sciences had 3746 co-authorship network nodes and 9307 connection lines. The average network path was 12.81183 and network density was 0.00158670. For the total 3746 network nodes, the average degree was 2.96796583, among which the maximum was 80 and the minimum was 1. The connection distribution of collaboration network was uneven; a large number of nodes had few connections while a few nodes had most of connections in the network. The network was distributed to 597 condensed subsets, among which the largest condensed subset had 2156 nodes, accounting for 57.555% of the total nodes. There were 24 medium-sized subsets and the number of nodes was about 6 to 22. The co-authorship network was incompletely connected and the integral connection was fairly close. There were some closely connected groups in large sub-network and the integral co-authorship status was perfect. Different nodes of the co-authorship network were connected closely, among which the top 50 authors collaborated with other scientific research personnel frequently. Such kind of organization form of Guangdong Academy of Agricultural Sciences yet has great advantage in key agricultural science breakthroughs. It is reflected in those aspects: the forming mechanism of large-scale co-authorship network has close connection with the stability and durability of talents in this field, the breakthrough of key scientific projects can also lead to the formation of large-scale co-authorship network.

Copyright

© 2017, 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  - Xia-Ling Chu
AU  - Xiu-Jie Huang
AU  - Hui-Ling Zhang
AU  - Xue-Na Bai
AU  - Jian-Xun Cui
AU  - Xian-Zhi Yang
AU  - Yi-Guang Zou
PY  - 2017/02
DA  - 2017/02
TI  - Research on Scientific Collaboration Social Network of Provincial Academy of Agricultural Sciences
BT  - Proceedings of the 2017 2nd International Conference on Humanities and Social Science (HSS 2017)
PB  - Atlantis Press
SP  - 634
EP  - 645
SN  - 2352-5398
UR  - https://doi.org/10.2991/hss-17.2017.110
DO  - 10.2991/hss-17.2017.110
ID  - Chu2017/02
ER  -