Provincial Linkage Characteristics of Hog Price in China Based on Linkage Social Network Analysis Method
Li Ma and
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Jiyun Bai: Northeast Agricultural University, Harbin, China
Muyan Liu: College of Engineering, Northeast Agricultural University, Harbin, China
Li Ma: College of Engineering, Northeast Agricultural University, Harbin, China
Jun Meng: College of Arts and Sciences, Northeast Agricultural University, Harbin, China
International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2020, vol. 11, issue 3, 61-74
In order to obtain the visual data of linkage structure and network characteristics of hog price among provinces in China, an improved analysis method of social network correlation was proposed in this article. The lift of association rules were introduced to analyze the correlation of hog prices in different provinces in China and taken as the weight matrix of network analysis. Besides, based on social network analysis parameters and UCINET visualization technology, network analysis was carried out on the linkage relation and linkage characteristics. The application results show that, the lift of association rules can quantitatively and precisely obtain the correlation and differences of tendency of hog price, and the established network structure and parameters can visually and quantitatively present the linkage characteristics of hog price among regions and provinces.
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:11:y:2020:i:3:p:61-74
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