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Journal of the Korean Physical Society

, Volume 60, Issue 4, pp 585–589 | Cite as

Demographic studies of Internet routers

  • Daniel Kim
  • Seung-Woo Son
  • Hawoong Jeong
Article

Abstract

We investigate the current state of Internet infrastructures by examining the position and the number of routers considering various demographic data. The scaling relation between the router and the population densities is studied in two different scales, one is a worldwide scale and the other is a country scale. We found the number of routers in each country to be proportional to its economic level, and a super-linear scaling relation to exist between the router density and the Internet user density on a worldwide level. From a district analysis of the country level, we found that the scaling exponents change according to economic conditions and the level of Internet development. As the Internet penetration rate increases, the scaling exponent tends to be close to 2/3, indicating that routers are distributed like public facilities.

Keywords

Internet router Scaling relation Scaling exponent Demographic study 

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References

  1. [1]
    A. Dhamdhere and C. Dovrolis, in Proceedings of the 8th ACM SIGCOMM Conference on Internet Measurement 2008 (Vouliagmeni, Greece, October 20–22, 2008).Google Scholar
  2. [2]
    B. Carpenter, Comput. Commun. Rev. 39, 6 (2009).CrossRefGoogle Scholar
  3. [3]
  4. [4]
    V. V. Gehring, The Internet in Public Life (Rowman & Littlefield, Lanham, Maryland, 2004), p. 79.Google Scholar
  5. [5]
    L. M. A. Bettencourt, J. Lobo, D. Helbing, C. Kühnert and G. B. West, Proc. Natl. Acad. Sci. U.S.A. 104, 7301 (2009).ADSCrossRefGoogle Scholar
  6. [6]
    G. E. Stephan, J. Regional Sci. 28, 29 (1988).CrossRefGoogle Scholar
  7. [7]
    M. Gastner and M. E. J. Newman, Phys. Rev. E 74, 016117 (2006).ADSCrossRefGoogle Scholar
  8. [8]
    J. Um, S. W. Son, S. I. Lee, H. Jeong and B. J. Kim, Proc. Natl. Acad. Sci. U.S.A. 106, 14236 (2009).ADSCrossRefGoogle Scholar
  9. [9]
    A. Lakhina, J. W. Byers, M. Crovella and I. Matta, IEEE J. Sel. Areas Commun 21, 934 (2003).CrossRefGoogle Scholar
  10. [10]
    S. H. Yook, H. Jeong and A. L. Barabási, Proc. Natl. Acad. Sci. U.S.A. 99, 13382 (2002).ADSCrossRefGoogle Scholar
  11. [11]
    We used the data at March 2, 2010, from http://www.maxmind.com/app/city.
  12. [12]
  13. [13]
  14. [14]
  15. [15]
  16. [16]
  17. [17]
  18. [18]

Copyright information

© The Korean Physical Society 2012

Authors and Affiliations

  1. 1.Department of PhysicsKAISTDaejeonKorea
  2. 2.Complexity Science GroupUniversity of CalgaryCalgaryCanada
  3. 3.Department of Physics, and Institute for the BioCenturyKAISTDaejeonKorea
  4. 4.APCTPPohangKorea

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