Fitness-dependent topological properties of the world trade web.

@article{Garlaschelli2004FitnessdependentTP,
  title={Fitness-dependent topological properties of the world trade web.},
  author={Diego Garlaschelli and Maria Immacolata Loffredo},
  journal={Physical review letters},
  year={2004},
  volume={93 18},
  pages={
          188701
        }
}
Among the proposed network models, the hidden variable (or good get richer) one is particularly interesting, even if an explicit empirical test of its hypotheses has not yet been performed on a real network. Here we provide the first empirical test of this mechanism on the world trade web, the network defined by the trade relationships between world countries. We find that the power-law distributed gross domestic product can be successfully identified with the hidden variable (or fitness… 
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References

SHOWING 1-10 OF 41 REFERENCES
Topology of the world trade web.
  • M. Serrano, M. Boguñá
  • Computer Science
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2003
TLDR
This network displays the typical properties of complex networks, namely, scale-free degree distribution, the small-world property, a high clustering coefficient, and, in addition, degree-degree correlation between different vertices.
Detection of topological patterns in complex networks: correlation profile of the internet
Scale-free networks from varying vertex intrinsic fitness.
TLDR
A new mechanism leading to scale-free networks is proposed, which is called a good-get-richer mechanism, in which sites with larger fitness are more likely to become hubs (i.e., to be highly connected).
Class of correlated random networks with hidden variables.
TLDR
The general model is extended to describe a practical algorithm to generate random networks with an a priori specified correlation structure and an extension is presented, to map nonequilibrium growing networks to networks with hidden variables that represent the time at which each vertex was introduced in the system.
Origin of degree correlations in the Internet and other networks.
  • Juyong Park, M. Newman
  • Geology
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2003
TLDR
The results confirm that the conjectured mechanism does indeed give rise to correlations of the kind seen in the Internet, although only a part of the measured correlation can be accounted for in this way.
Evolution of networks
TLDR
The recent rapid progress in the statistical physics of evolving networks is reviewed, and how growing networks self-organize into scale-free structures is discussed, and the role of the mechanism of preferential linking is investigated.
Dynamical and correlation properties of the internet.
TLDR
It is found that the Internet is characterized by non-trivial correlations among nodes and different dynamical regimes, and the importance of node hierarchy and aging in the Internet structure and growth is pointed out.
Hierarchical organization in complex networks.
  • E. Ravasz, A. Barabasi
  • Computer Science
    Physical review. E, Statistical, nonlinear, and soft matter physics
  • 2003
TLDR
It is found that several real networks, such as the Worldwideweb, actor network, the Internet at the domain level, and the semantic web obey this scaling law, indicating that hierarchy is a fundamental characteristic of many complex systems.
The Structure and Function of Complex Networks
TLDR
Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Measuring preferential attachment for evolving networks
TLDR
Measurements on four networks indicate that the rate at which nodes acquire links depends on the node's degree, offering direct quantitative support for the presence of preferential attachment.
...
...