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Evolution of community structure in the world trade web

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  • I. Tzekina
  • K. Danthi
  • D. Rockmore

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  • I. Tzekina & K. Danthi & D. Rockmore, 2008. "Evolution of community structure in the world trade web," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 541-545, June.
    • Handle: RePEc:spr:eurphb:v:63:y:2008:i:4:p:541-545
    DOI: 10.1140/epjb/e2008-00181-2
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    References listed on IDEAS

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    1. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," Papers physics/0701030, arXiv.org.
    2. D. Garlaschelli & T. Di Matteo & T. Aste & G. Caldarelli & M. I. Loffredo, 2007. "Interplay between topology and dynamics in the World Trade Web," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 159-164, May.
    3. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2007. "The Evolution of the World Trade Web," LEM Papers Series 2007/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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    Citations

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    Cited by:

    1. Alessandro Chessa & Irene Crimaldi & Massimo Riccaboni & Luca Trapin, 2014. "Cluster analysis of weighted bipartite networks: a new copula-based approach," Working Papers 3/2014, IMT School for Advanced Studies Lucca, revised Apr 2014.
    2. Zhen Zhu & Federica Cerina & Alessandro Chessa & Guido Caldarelli & Massimo Riccaboni, 2014. "The Rise of China in the International Trade Network: A Community Core Detection Approach," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-8, August.
    3. IKEDA Yuichi & AOYAMA Hideaki & IYETOMI Hiroshi & MIZUNO Takayuki & OHNISHI Takaaki & SAKAMOTO Yohei & WATANABE Tsutomu, 2016. "Econophysics Point of View of Trade Liberalization: Community dynamics, synchronization, and controllability as example of collective motions," Discussion papers 16026, Research Institute of Economy, Trade and Industry (RIETI).
    4. Giorgio Fagiolo, 2010. "The international-trade network: gravity equations and topological properties," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 5(1), pages 1-25, June.
    5. Merza, Ádám & London, András & Kiss, István Márton & Pelle, Anita & Dombi, József & Németh, Tamás, 2016. "A világkereskedelem hálózatelméleti vizsgálatának lehetőségeiről [The scope for analysis of world trade through network theory]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 79-98.
    6. Zongning Wu & Hongbo Cai & Ruining Zhao & Ying Fan & Zengru Di & Jiang Zhang, 2020. "A Topological Analysis of Trade Distance: Evidence from the Gravity Model and Complex Flow Networks," Sustainability, MDPI, vol. 12(9), pages 1-17, April.
    7. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    8. Song, Dong-Ming & Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2009. "Statistical properties of world investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2450-2460.
    9. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    10. Yuke Li & Tianhao Wu & Nicholas Marshall & Stefan Steinerberger, 2016. "Extracting Geography from Trade Data," Papers 1607.05235, arXiv.org, revised Jul 2016.
    11. Paolo Bartesaghi & Gian Paolo Clemente & Rosanna Grassi, 2020. "Community structure in the World Trade Network based on communicability distances," Papers 2001.06356, arXiv.org, revised Jul 2020.
    12. Zhen Zhu & Federica Cerina & Alessandro Chessa & Guido Caldarelli & Massimo Riccaboni, 2014. "The rise of China in the international trade network: a community core detection approach," Working Papers 4/2014, IMT School for Advanced Studies Lucca, revised Apr 2014.
    13. 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.
    14. Zhang, Xiaohang & Cui, Huiyuan & Zhu, Ji & Du, Yu & Wang, Qi & Shi, Wenhua, 2017. "Measuring the dissimilarity of multiplex networks: An empirical study of international trade networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 380-394.
    15. Felipe Chávez-Bustamante & Elliott Mardones-Arias & Julio Rojas-Mora & Jaime Tijmes-Ihl, 2023. "A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks," Mathematics, MDPI, vol. 11(3), pages 1-20, January.
    16. Paolo Bartesaghi & Gian Paolo Clemente & Rosanna Grassi, 2022. "Community structure in the World Trade Network based on communicability distances," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 405-441, April.
    17. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.
    18. Roberto Antonietti & Paolo Falbo & Fulvio Fontini & Rosanna Grassi & Giorgio Rizzini, 2021. "International Trade Network: Country centrality and COVID-19 pandemic," Papers 2107.14554, arXiv.org.
    19. Li, Yuke & Wu, Tianhao & Marshall, Nicholas & Steinerberger, Stefan, 2017. "Extracting geography from trade data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 205-212.
    20. Alessandro Chessa & Irene Crimaldi & Massimo Riccaboni & Luca Trapin, 2014. "Cluster Analysis of Weighted Bipartite Networks: A New Copula-Based Approach," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    21. Rosanna Grassi & Paolo Bartesaghi & Stefano Benati & Gian Paolo Clemente, 2021. "Multi-Attribute Community Detection in International Trade Network," Networks and Spatial Economics, Springer, vol. 21(3), pages 707-733, September.

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