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Social network analysis as a tool for the analysis of the international trade network of aquatic products
Aquaculture International ( IF 2.2 ) Pub Date : 2020-02-27 , DOI: 10.1007/s10499-020-00520-5
Jin-Kai Yu , Jian-Qiu Ma

Social network analysis (SNA) is an efficient method to describe network characteristics from various specific aspects. In this study, it took world countries (areas) as the primary units of analysis and introduced different procedures of SNA, including network density, centrality, and core-periphery structure, and applied them to the field of international aquatic product trade (IAPT). Besides statistical and descriptive analysis, the paper made full use of tools as Ucinet 6.3 and ArcGIS 10.2 to conduct visualized analysis, which would be more convenient and clear for demonstrating network structure of IAPT. With aim of figuring out the overall structure features, the important countries (areas) as the center roles, and the core-periphery structure in the network from both spatial and temporal perspective, data on international aquatic products in the period 2008–2017 was used in SNA. Above all, a special part was that a comparison analysis was given in the paper by comparing the results of IAPT with the general trade network, showing how different was the network of IAPT from the general trade network. The paper found that the IAPT network became increasingly dense from 2008 to 2017 despite of a relatively low level of density for the long period. Countries distributed mainly in the northern areas of North America, Europe, and east and south Asia dominated the whole IAPT network in the most periods of 2008–2017, while most of those distributed in South America, southern areas of the North America, Africa, and western Asia consistently served as the weak in IAPT network. Moreover, core-periphery structure did exist in IAPT network. And the network outcomes of IAPT were similar to a general one in some aspects.



中文翻译:

社会网络分析作为分析水产品国际贸易网络的工具

社交网络分析(SNA)是从各个特定方面描述网络特征的有效方法。在这项研究中,以世界国家(地区)为主要分析单位,并介绍了SNA的不同程序,包括网络密度,集中性和核心外围结构,并将其应用于国际水产品贸易(IAPT)领域。 。除了统计和描述性分析之外,本文还充分利用Ucinet 6.3和ArcGIS 10.2等工具进行可视化分析,这对于展示IAPT的网络结构将更加方便和清晰。为了从空间和时间角度确定总体结构特征,重要国家(地区)为中心角色以及网络中的核心外围结构,SNA使用了2008-2017年期间国际水产品的数据。最重要的是,本文通过将IAPT的结果与一般贸易网络进行比较,对本文进行了比较分析,表明IAPT的网络与一般贸易网络有何不同。该论文发现,尽管长期以来密度相对较低,但IAPT网络从2008年到2017年变得越来越密集。在2008-2017年的大部分时间里,主要分布在北美,欧洲以及东亚和南亚北部地区的国家主导了整个IAPT网络,而大多数分布在南美,北美南部地区,非洲,西亚一直是IAPT网络中的弱者。此外,IAPT网络中确实存在核心外围结构。

更新日期:2020-02-27
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