摘要
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.
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.
作者
蔡宏波
宋媛嫄
樊瑛
吴宗柠
CAI Hongbo;SONG Yuanyuan;FAN Ying;WU Zongning(Business School, Beijing Normal University,100875,Beijing,China;Department of Physics, Beijing Normal University, 100875, Beijing, China;School of Systems Science, Beijing Normal University, 100875, Beijing, China)
出处
《北京师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第2期191-197,共7页
Journal of Beijing Normal University(Natural Science)
基金
国家自然科学基金资助项目(71773007
71403024
61573065)
北京市社会科学基金资助项目(17YJB020)
国家社科基金重大资助项目(16ZDA026)
北京师范大学学科交叉建设资助项目
关键词
贸易网络
农产品贸易
节点中心性
靴襻渗流
international trade network
agricultural commodity
importance of verticesbootstrap percolation