Skip to main content
SpringerLink
Log in

Exploring the True Relationship Among Countries from Flow Data of International Trade and Migration

  • Conference paper
  • First Online:
Unifying Themes in Complex Systems IX (ICCS 2018)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Included in the following conference series:

  • 2840 Accesses

Abstract

The relationship among various entities in the socio-economic systems is an important part of complexity research. Here we combine the general gravity model and minimum reverse flows idea to propose a general framework to reveal comprehensive relationship among entities with intimacy and hierarchy based on flow data among entities. Besides, we apply this method to comprehensively analyze international trade network and population migration network. Based on the empirical flow data, we calculate the effective distance among countries and rank or grade of countries, which could reveal the true relationship among them. The countries in global trade are clustered but not hierarchical, while the relationship among countries in international migration is just the opposite. They are hierarchical and not clustered.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Soytas, U., Sari, R.: Energy consumption and GDP: causality relationship in G-7 countries and emerging markets. Energy Econ. 25(1), 33–37 (2003)

    Article  Google Scholar 

  2. Nieh, C.C., Lee, C.F.: Dynamic relationship between stock prices and exchange rates for G-7 countries. Q. Rev. Econ. Finan. 41(4), 477–490 (2001)

    Article  Google Scholar 

  3. Meyer, D.F., Masehla, T.M., Kot, S.: The relationship between economic growth and economic development: a regional assessment in South Africa. J. Adv. Res. Law Econ. 8(4(26)), 1377–1385 (2017)

    Google Scholar 

  4. Samargandi, N., Fidrmuc, J., Ghosh, S.: Is the relationship between financial development and economic growth monotonic? Evidence from a sample of middle-income countries. World Dev. 68, 66–81 (2015)

    Article  Google Scholar 

  5. Baylis, J., Smith, S., Owens, P. (eds.): The Globalization of World Politics: An Introduction to International Relations. Oxford University Press, Oxford (2017)

    Google Scholar 

  6. Hidalgo, C.A., Klinger, B., Barabási, A.L., Hausmann, R.: The product space conditions the development of nations. Science 317(5837), 482–487 (2007)

    Article  ADS  Google Scholar 

  7. García-Pérez, G., Boguñá, M., Allard, A., Serrano, M.Á.: The hidden hyperbolic geometry of international trade: World Trade Atlas 18702013. Sci. Rep. 6, 33441 (2016)

    Google Scholar 

  8. Noulas, A., Scellato, S., Lambiotte, R., Pontil, M., Mascolo, C.: A tale of many cities: universal patterns in human urban mobility. PLoS ONE 7(5), e37027 (2012)

    Article  ADS  Google Scholar 

  9. Krings, G., Calabrese, F., Ratti, C., Blondel, V.D.: Urban gravity: a model for inter-city telecommunication flows. J. Stat. Mech: Theory Exp. 2009(07), L07003 (2009)

    Article  Google Scholar 

  10. Kahouli, B., Maktouf, S.: Trade creation and diversion effects in the Mediterranean area: econometric analysis by gravity model. J. Int. Trade Econ. Dev. 24(1), 76–104 (2015)

    Article  Google Scholar 

  11. Ramos, R., Surinach, J.: A gravity model of migration between the ENC and the EU. Tijdschrift voor economische en sociale geografie 108(1), 21–35 (2017)

    Article  Google Scholar 

  12. Park, J.: Diagrammatic perturbation methods in networks and sports ranking combinatorics. J. Stat. Mech. Theory Exp. 2010(04), P04006 (2010)

    Article  Google Scholar 

  13. Clauset, A., Arbesman, S., Larremore, D.B.: Systematic inequality and hierarchy in faculty hiring networks. Sci. Adv. 1(1), e1400005 (2015)

    Article  ADS  Google Scholar 

  14. Borg, I., Groenen, P.J.: Modern Multidimensional Scaling: Theory and Applications. Springer Science & Business Media, New York (2005)

    Google Scholar 

  15. Brockmann, D., Helbing, D.: The hidden geometry of complex, network-driven contagion phenomena. Science 342(6164), 1337–1342 (2013)

    Article  ADS  Google Scholar 

  16. Chen, Q., Huang, Z.G., Wang, Y., Lai, Y.C.: Multiagent model and mean field theory of complex auction dynamics. New J. Phys. 17(9), 093003 (2015)

    Article  ADS  Google Scholar 

  17. Yan, X.Y., Zhao, C., Fan, Y., Di, Z., Wang, W.X.: Universal predictability of mobility patterns in cities. J. R. Soc. Interface 11(100), 20140834 (2014)

    Article  Google Scholar 

  18. Simini, F., González, M.C., Maritan, A., Barabási, A.L.: A universal model for mobility and migration patterns. Nature 484(7392), 96 (2012)

    Article  ADS  Google Scholar 

Download references

Acknowledgements

We appreciate comments and helpful suggestions from Prof. Yiming Ding, Jiang Zhang, Hongbo Cai, and Dr. An Zeng. Thank Ms. Liqian Lang for some help in data processing. This work was supported by Chinese National Natural Science Foundation (71701018) and (61673070), National Social Sciences Fund, China (14BSH024), and Beijing Normal University Cross-Discipline Project.

Author information

Authors and Affiliations

  1. School of Systems Science, Beijing Normal University, Beijing, 100875, China

    Kedan Wang, Xiaomeng Li, Qinghua Chen & Jianzhang Bao

  2. School of Government, Beijing Normal University, Beijing, 100875, China

    Kedan Wang & Xi Wang

Authors
  1. Kedan Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaomeng Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qinghua Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jianzhang Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Qinghua Chen or Jianzhang Bao .

Editor information

Editors and Affiliations

  1. New England Complex Systems Institute, Cambridge, MA, USA

    Alfredo J. Morales

  2. Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico, Distrito Federal, Mexico

    Carlos Gershenson

  3. New England Complex Systems Institute and University of Massachusetts, Cambridge, MA, USA

    Dan Braha

  4. Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, USA

    Ali A. Minai

  5. New England Complex Systems Institute, Cambridge, MA, USA

    Yaneer Bar-Yam

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, K., Li, X., Wang, X., Chen, Q., Bao, J. (2018). Exploring the True Relationship Among Countries from Flow Data of International Trade and Migration. In: Morales, A., Gershenson, C., Braha, D., Minai, A., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems IX. ICCS 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-96661-8_49

Download citation

Publish with us

Policies and ethics

Search

Navigation