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基于国际贸易网特性的贸易依赖派系过滤算法

发布时间:2019-04-09 19:10
【摘要】:目前诸多社团划分算法往往面向一般意义的复杂网络,针对具体问题应用时需要筛选和改进。为了提高国际贸易网络社团划分的准确性与合理性,考虑现实国际贸易主体平等、联系普遍、流量悬殊、市场依赖、贸易组织重叠、社团相对稳定和贸易波动等特性对社团划分的影响,提出一种引入贸易依赖度权重的派系过滤算法。将该算法应用于海上丝绸之路贸易社团划分,通过检验算法结果的社团结构可辨识性、模块度Q值、现实契合度和可解释性,验证了该算法的有效性。
[Abstract]:At present, many community partition algorithms are often oriented to the general meaning of complex networks, and need to be screened and improved in the application of specific problems. In order to improve the accuracy and rationality of the division of international trade network associations, we should consider the equality of international trade subjects, the universality of links, the disparity of flows, the dependence of the market, and the overlap of trade organizations. Based on the influence of the characteristics of relative stability and trade fluctuation on the division of associations, a factional filtering algorithm based on trade dependency weight is proposed. The algorithm is applied to the maritime Silk Road trade community division. The validity of the algorithm is verified by verifying the identifiability of the association structure, the Q value of modularity, the practical agreement and the interpretability of the algorithm.
【作者单位】: 上海理工大学管理学院;宁波职业技术学院;江苏科技大学(张家港);
【基金】:国家自然科学基金资助项目(71571119) 江苏省现代教育技术研究课题(48888) 江苏高等教育科学研究“十三五”规划课题(16YB064)
【分类号】:O157.5

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