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

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.