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The study of the influence of common humanistic relations on international services trade-from the perspective of multi-networks

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  • Xu, Helian
  • Cheng, Long

Abstract

In order to analyze influences of common humanistic relations on international services trade, this paper includes two parts. In the first part, from the perspective of “the network of networks”, the QAP bipartite weighted network was constructed. According to the analysis on QAP bipartite weighted network by distance index, it is discovered that the whole structure of networks of common humanistic relations influence service trade network structure; different common humanistic relations have heterogeneous promotion effect on a kind of service trade; a kind of common humanistic relation have different influences on different kinds of services trade. In the second part, we further research influences of the inner substructure, communities, of common humanistic relations on international services trade by community analysis from different relations perspective. Research results suggest that there is more significant promotion of large communities than small ones owing to the network externality of common humanistic relations.

Suggested Citation

  • Xu, Helian & Cheng, Long, 2019. "The study of the influence of common humanistic relations on international services trade-from the perspective of multi-networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 642-651.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:642-651
    DOI: 10.1016/j.physa.2019.02.055
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    References listed on IDEAS

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    1. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    2. 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.
    3. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    4. 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.
    5. Bedassa Tadesse & Roger White, 2010. "Cultural distance as a determinant of bilateral trade flows: do immigrants counter the effect of cultural differences?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(2), pages 147-152, January.
    6. Zhong, Weiqiong & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2014. "The evolution of communities in the international oil trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 42-52.
    7. 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.
    8. Xu, Helian & Cheng, Long, 2016. "The QAP weighted network analysis method and its application in international services trade," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 91-101.
    9. M. Serrano & Marián Boguñá & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 111-124, December.
    10. K. Bhattacharya & G. Mukherjee & J. Saramaki & K. Kaski & S. S. Manna, 2007. "The International Trade Network: weighted network analysis and modelling," Papers 0707.4343, arXiv.org, revised Mar 2008.
    11. M. Angeles Serrano & Marian Boguna & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Papers 0704.1225, arXiv.org.
    12. Raja Kali & Javier Reyes, 2007. "The architecture of globalization: a network approach to international economic integration," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 38(4), pages 595-620, July.
    13. 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.
    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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