国际农产品贸易:基于复杂网络的分析

将复杂网络分析应用于国际农产品贸易,研究发现:在中观层面通过加权优化极值算法和粗粒化过程,得到反映“中心外围”结构的三类国家;而在微观层面根据网络节点中心性所列的国家排名显示,国际农产品贸易是封闭的、非均衡的且向多元化和多极化发展的.此外,还利用改进后的靴襻渗流模型评估了双边贸易关系遭到破坏对国际农产品贸易的影响及其传播. 

International trade of agricultural products as analyzed by complex network method

The research paradigm of complex network based on statistical physics and graph theory has sprung up in the last decade to provide a new global perspective for international trade, especially for trade of agricultural commodities. We in the present work apply theories of complex network to investigate positions of different countries in international trade of agricultural commodities. Countries are classified into three categories based on "core/periphery" structure using Weighted Extremal Optimisation algorithm and Coarse Graining process. Countries are ranked with the aid of network node centralities,which presents world agricultural commodity trade as a closed, imbalanced, diversified and multi-polar development. Improved bootstrap percolation was introduced to simulate cascading influences following breaking down of bilateral agricultural commodity trade relations.