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arXiv 0710.5447physics.soc-phphysics.data-an
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加权宏观经济网络中的集群:EU案例。引入GDP/人均波动相关系数的重叠指数

Clusters in weighted macroeconomic networks : the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations

Mircea Gligor, Marcel Ausloos

摘要:

国内生产总值/人均相关性的研究在不同的时间窗口(TW),为1990年至2005年的时间间隔。目标国家组是25个欧盟成员国的集合,15个直到2004年加上10个后来加入欧盟的国家。统计相关系数的TW均值被视为以国家为节点的全连接网络的权重(链接)。然后定义并引入加权网络节点的重叠指数。欧盟国家的集群结构来自统计相关的特征值和特征向量的邻接矩阵。这可以被认为是从宏观经济意义上产生关于欧盟国家集群的结构、稳定性和演变的一些信息。

英文摘要:

GDP/capita correlations are investigated in various time windows (TW), for the time interval 1990-2005. The target group of countries is the set of 25 EU members, 15 till 2004 plus the 10 countries which joined EU later on. The TW-means of the statistical correlation coefficients are taken as the weights (links) of a fully connected network having the countries as nodes. Thereafter we define and introduce the overlapping index of weighted network nodes. A cluster structure of EU countries is derived from the statistically relevant eigenvalues and eigenvectors of the adjacency matrix. This may be considered to yield some information about the structure, stability and evolution of the EU country clusters in a macroeconomic sense.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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