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Estimating trade flow based on network topology

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  • Duan, Wen-Qi

Abstract

Betweenness is often considered as a direct or slightly modified approximation of real-life flow in the study of transport networks. We test this assumption by comparing the estimated traffic pattern with the real-life traffic pattern of 53 international trade networks. The results reveal that there are fundamental differences between these two traffic patterns, and that betweenness is not a good flow estimator. To calculate the modified betweenness, we propose a new algorithm that assumes the following: (1) the transport requirement sent and received by any pair of nodes is in proportion to the product of their node transport requirements and in inverse proportion to their network distance, and (2) each node transport requirement is in proportion to the corresponding node modified betweenness. The resulting modified betweenness networks have reproduced most real-life traffic patterns with a similar probability density distribution of flow, local heterogeneity of flow distribution, and weighted average nearest-neighbours flow.

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  • Duan, Wen-Qi, 2008. "Estimating trade flow based on network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 519-527.
    • Handle: RePEc:eee:phsmap:v:387:y:2008:i:2:p:519-527
    DOI: 10.1016/j.physa.2007.09.018
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    References listed on IDEAS

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    1. Laszlo Matyas, 1997. "Proper Econometric Specification of the Gravity Model," The World Economy, Wiley Blackwell, vol. 20(3), pages 363-368, May.
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    Cited by:

    1. Guan, Qing & An, Haizhong, 2017. "The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic," Applied Energy, Elsevier, vol. 203(C), pages 154-163.
    2. Guan, Qing & An, Haizhong & Gao, Xiangyun & Huang, Shupei & Li, Huajiao, 2016. "Estimating potential trade links in the international crude oil trade: A link prediction approach," Energy, Elsevier, vol. 102(C), pages 406-415.
    3. Liu, sen & Dong, Zhiliang, 2019. "Who will trade bauxite with whom? Finding potential links through link prediction," Resources Policy, Elsevier, vol. 63(C), pages 1-1.

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