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基于复杂网络的全球铅矿贸易格局演化特征分析
引用本文:苗媛媛,闫强,邢万里,贾祥英.基于复杂网络的全球铅矿贸易格局演化特征分析[J].中国矿业,2019,28(11).
作者姓名:苗媛媛  闫强  邢万里  贾祥英
作者单位:中国地质大学(北京),中国地质科学院矿产资源研究所,中国地质科学院矿产资源研究所,中国地质大学(北京)
摘    要:近年来,随着铅矿应用领域的不断扩展,刺激了各国对铅的需求。铅矿作为战略新兴产业发展的重要支撑矿种,铅矿贸易对世界工业发展具有一定影响作用。由于参与国际铅矿贸易的国家众多且贸易关系复杂,本文根据复杂网络理论,选取1997年~2016年的国际铅矿贸易数据,构建以国家为节点,国家之间存在的贸易联系为边的全球铅矿贸易有向加权网络,分析了国际铅矿贸易网络演变特征。分析结果表明,全球铅矿贸易网络的规模不断地壮大,参与贸易的国家数量增多,贸易量也不断增多,贸易网络中节点的度值和度分布具有幂律分布特征,国家之间的贸易关系也逐渐紧密,贸易趋于全球化。

关 键 词:铅矿  国际贸易  复杂网络  特征值
收稿时间:2019/8/20 0:00:00
修稿时间:2019/9/22 0:00:00

Evolution Characteristics of Global Lead Trade Patterns Based on Complex Network
Miao Yuanyuan,Qiang Yan,Wanli Xing and Jia Xiangying.Evolution Characteristics of Global Lead Trade Patterns Based on Complex Network[J].China Mining Magazine,2019,28(11).
Authors:Miao Yuanyuan  Qiang Yan  Wanli Xing and Jia Xiangying
Abstract:In recent years, with the continuous expansion of the application field of lead ore, the demand for lead in various countries has been stimulated. Lead ore is an important supporting mineral for the development of strategic emerging industries. Lead ore trade has a certain impact on world industrial development. Because there are many countries participating in international lead trade and their trade relations are complex, this paper, based on the complex network theory, selects the international lead trade data from 1997 to 2016 to construct a directed weighted global lead trade network with countries as nodes and trade links between countries as edges, and analyse the evolution characteristics of international lead mine trade network. The analysis results show that the scale of global lead mine trade network is constantly growing, the number of countries participating in trade is increasing, and the volume of trade is also increasing. The degree and degree distribution of nodes in the trade network have power law distribution characteristics, and the trade relations between countries are gradually close, and trade tends to be globalized.
Keywords:lead ore  international trade  complex network  characteristic value
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