Extracting geography from trade data

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• 作者：Yuke Li^a ; ^{yuke.li@yale.edu} ; Tianhao Wu^b ; ^{tianhao.wu@yale.edu} ; Nicholas Marshall^c ; ^{nicholas.marshall@yale.edu} ; Stefan Steinerberger^d ; ^{stefan.steinerberger@yale.edu}
• 关键词：Trade distance ; Geopolitics ; Dimensionality reduction ; Spectral embedding
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 May 2017
• 年：2017
• 卷：473
• 期：Complete
• 页码：205-212
• 全文大小：597 K
• 卷排序：473

文摘

We derive geopolitical information using only the trade volume between countries. The implemented method uses nonlinear dimensionality reduction (diffusion maps). We discover different historic, linguistic and geographic factors as relevant.