• DocumentCode
    770054
  • Title

    Power laws and the AS-level Internet topology

  • Author

    Siganos, Georgos ; Faloutsos, Michalis ; Faloutsos, Petros ; Faloutsos, Christos

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California, Riverside, CA, USA
  • Volume
    11
  • Issue
    4
  • fYear
    2003
  • Firstpage
    514
  • Lastpage
    524
  • Abstract
    We study and characterize the topology of the Internet at the autonomous system (AS) level. First, we show that the topology can be described efficiently with power laws. The elegance and simplicity of the power laws provide a novel perspective into the seemingly uncontrolled Internet structure. Second, we show that power laws have appeared consistently over the last five years. We also observe that the power laws hold even in the most recent and more complete topology with correlation coefficient above 99% for the degree-based power law. In addition, we study the evolution of the power-law exponents over the five-year interval and observe a variation for the degree-based power law of less than 10%. Thirdly, we provide relationships between the exponents and other topological metrics.
  • Keywords
    Internet; graph theory; network topology; AS-level; Internet topology; autonomous system level; correlation coefficient; graph metrics; network modeling; power laws; Computer science; Engineering profession; Internet; Network topology; Parameter estimation; Power measurement; Protocols;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2003.815300
  • Filename
    1224452