基于网络相似性测度的国际贸易产品分类

该文以复杂网络视角研究国际贸易产品的社团结构,探究产品贸易的演化规律.选取1995-2015年每隔5年的产品贸易数据,首先构建产品国际贸易网络与国际总贸易网络,采用网络相似性测度来衡量产品距离;然后通过最小生成树与设立阈值相结合的方法构建产品网络;最后运用加权极值优化算法进行产品分类,研究产品集群的演化规律.研究发现,...

International Trade Product Classification Based on Network Similarity Measure

This paper studies the community structure of international trade products and explores the evolutionary rules of product trade from a perspective of complex networks. First, the international trade network of products and the international total trade network are constructed by using the product trade data every five years from 1995 to 2015. Then the product distance is measured with network similarity measure, and the product network is constructed by combining the minimum spanning tree and threshold setting. Finally, the weighted extremum optimization algorithm is used to classify the products and study the evolution rules of the product cluster. The research concludes that although the total international trade is the sum of products, there are significant differences in the product trade relations between countries. As time goes by, international trade is becoming closer, and the focus of product trade between countries keeps changing, from heavy industry to agriculture, then light industry, finally agriculture. The community division of the 5-year product network shows consistent results except for 1995. But within the community, the tightness of the product cluster has been increasing