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Preferential attachment in multiple trade networks.

Rachele Foschi1, Massimo Riccaboni2, Stefano Schiavo3

  • 1LIME, IMT School for Advanced Studies, Lucca, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 13, 2014
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Summary
This summary is machine-generated.

This study introduces a new model for multiple network evolution, replicating concentrated and sparse world trade patterns. The model, an extension of preferential attachment, shows trade complexity increases with existing trade links.

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Area of Science:

  • Economics
  • Network Science
  • Complexity Science

Background:

  • World trade data exhibits concentrated and sparse characteristics.
  • Existing models may not fully capture the dynamic evolution of trade networks.

Purpose of the Study:

  • To develop a novel model for the evolution of multiple networks that replicates world trade data patterns.
  • To extend the preferential attachment growth model to a multi-network context.

Main Methods:

  • The study extends the preferential attachment growth model to multiple networks.
  • It incorporates country-specific evolution from less sophisticated to high-tech goods trading.
  • Probabilities of trade opportunity capture and complexity increase are linked to existing trade links.

Main Results:

  • The developed model successfully replicates the concentrated nature of world trade.
  • The model also accurately reproduces the sparsity pattern observed in trade matrices.
  • Theoretical predictions and simulation results align with empirical observations.

Conclusions:

  • The proposed multi-network evolution model provides a robust framework for understanding world trade dynamics.
  • The findings offer insights into the mechanisms driving trade concentration and sparsity.
  • Numerical solutions are discussed for managing large-scale multi-network analysis.