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Competition and adaptation in an Internet evolution model.

M Angeles Serrano1, Marián Boguñá, Albert Díaz-Guilera

  • 1Departament de Física Fonamental, Universitat de Barcelona, Martí i Franqueè 1, 08028 Barcelona, Spain.

Physical Review Letters
|February 9, 2005
PubMed
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We model internet evolution using autonomous systems, finding network structure depends on growth rates. This approach explains internet

Area of Science:

  • Network Science
  • Internet Architecture
  • Complex Systems

Background:

  • The Internet's structure evolves through competition and adaptation.
  • Understanding autonomous system (AS) level dynamics is crucial for network analysis.

Purpose of the Study:

  • To model the Internet's evolution at the AS level.
  • To identify key factors influencing network topology and growth.

Main Methods:

  • Utilized a weighted network formalism considering both nodes and links.
  • Analyzed the exponent of the degree distribution as a function of growth rates.

Main Results:

  • The exponent of the degree distribution is a function of AS and connection growth rates.

Related Experiment Videos

  • The model replicates the Internet's hierarchical structure, clustering, and degree correlations.
  • Revealed the interplay between bandwidth, connectivity, and network traffic.

    • Conclusions:

    • Internet evolution at the AS level can be modeled as a competitive and adaptive process.
    • Growth rates of AS and connections are key determinants of network structure.
    • The model provides insights into the relationship between network resources and traffic flow.