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Detecting spatial homogeneity in the world trade web with Detrended Fluctuation Analysis

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  • Riccardo Chiarucci
  • Franco Ruzzenenti
  • Maria I. Loffredo

Abstract

In a spatially embedded network, that is a network where nodes can be uniquely determined in a system of coordinates, links' weights might be affected by metric distances coupling every pair of nodes (dyads). In order to assess to what extent metric distances affect relationships (link's weights) in a spatially embedded network, we propose a methodology based on DFA (Detrended Fluctuation Analysis). DFA is a well developed methodology to evaluate autocorrelations and estimate long-range behaviour in time series. We argue it can be further extended to spatially ordered series in order to assess autocorrelations in values. A scaling exponent of 0.5 (uncorrelated data) would thereby signal a perfect homogeneous space embedding the network. We apply the proposed methodology to the World Trade Web (WTW) during the years 1949-2000 and we find, in some contrast with predictions of gravity models, a declining influence of distances on trading relationships.

Suggested Citation

  • Riccardo Chiarucci & Franco Ruzzenenti & Maria I. Loffredo, 2013. "Detecting spatial homogeneity in the world trade web with Detrended Fluctuation Analysis," Papers 1308.0526, arXiv.org, revised Nov 2013.
  • Handle: RePEc:arx:papers:1308.0526
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    References listed on IDEAS

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    1. Buch, Claudia M. & Kleinert, Jorn & Toubal, Farid, 2004. "The distance puzzle: on the interpretation of the distance coefficient in gravity equations," Economics Letters, Elsevier, vol. 83(3), pages 293-298, June.
    2. Tiziano Squartini & Giorgio Fagiolo & Diego Garlaschelli, 2011. "Randomizing world trade. I. A binary network analysis," Papers 1103.1243, arXiv.org, revised Nov 2011.
    3. James E. Anderson & Yoto V. Yotov, 2012. "Gold Standard Gravity," NBER Working Papers 17835, National Bureau of Economic Research, Inc.
    4. Kristian Skrede Gleditsch, 2002. "Expanded Trade and GDP Data," Journal of Conflict Resolution, Peace Science Society (International), vol. 46(5), pages 712-724, October.
    5. Ruzzenenti, F. & Basosi, R., 2009. "Evaluation of the energy efficiency evolution in the European road freight transport sector," Energy Policy, Elsevier, vol. 37(10), pages 4079-4085, October.
    6. Yotov, Yoto V., 2012. "A simple solution to the distance puzzle in international trade," Economics Letters, Elsevier, vol. 117(3), pages 794-798.
    7. Stanley, H.E. & Buldyrev, S.V. & Goldberger, A.L. & Goldberger, Z.D. & Havlin, S. & Mantegna, R.N. & Ossadnik, S.M. & Peng, C.-K. & Simons, M., 1994. "Statistical mechanics in biology: how ubiquitous are long-range correlations?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 205(1), pages 214-253.
    8. David T Coe & Arvind Subramanian & Natalia T Tamirisa, 2007. "The Missing Globalization Puzzle: Evidence of the Declining Importance of Distance," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 34-58, May.
    9. Lin, Faqin & Sim, Nicholas C.S., 2012. "Death of distance and the distance puzzle," Economics Letters, Elsevier, vol. 116(2), pages 225-228.
    10. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    11. Francesco Picciolo & Tiziano Squartini & Franco Ruzzenenti & Riccardo Basosi & Diego Garlaschelli, 2012. "The role of distances in the World Trade Web," Papers 1210.3269, arXiv.org, revised Oct 2012.
    12. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    13. D. Garlaschelli & M. I. Loffredo, 2004. "Fitness-dependent topological properties of the World Trade Web," Papers cond-mat/0403051, arXiv.org, revised Oct 2004.
    14. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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    Cited by:

    1. Franco Ruzzenenti & Francesco Picciolo & Andreas Papandreou, 2015. "A network analysis of the global energy market: an insight on the entanglement between crude oil and the world economy," Papers 1509.05894, arXiv.org, revised Sep 2015.

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