北京师范大学学报（自然科学版）2018，Vol.54Issue(2)：191-197,7.DOI:10.16360/j.cnki.jbnuns.2018.02.008
国际农产品贸易:基于复杂网络的分析
International trade of agricultural products as analyzed by complex network method
摘要
Abstract
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.关键词
贸易网络/农产品贸易/节点中心性/靴襻渗流Key words
international trade network/agricultural commodity/importance of vertices/bootstrap percolation分类
自科综合引用本文复制引用
蔡宏波,宋媛嫄,樊瑛,吴宗柠..国际农产品贸易:基于复杂网络的分析[J].北京师范大学学报（自然科学版）,2018,54(2):191-197,7.基金项目
国家自然科学基金资助项目(71773007, 71403024,61573065) （71773007, 71403024,61573065）
北京市社会科学基金资助项目(17YJB020) （17YJB020）
国家社科基金重大资助项目(16ZDA026) （16ZDA026）
北京师范大学学科交叉建设资助项目 （）
