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Measuring Internet Diffusion in Italy

  • Andrea Bonaccorsi
  • Cristina Rossi
  • Arianna Del Soldato
  • Maurizio Martinelli
  • Irma Serrecchia
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 104)

Abstract

The last 10 years witnessed an exponential growth of the Internet. According to Hobbes’ Internet Timeline 1, the Internet hosts are about 93 million, while in 1989 they were 100,000. The same happens for second level domain names. In July 1989 the registered domains were about 3,900 while they were over 2 million in July 2000.This paper reports about the construction of a database containing daily observations on registrations of second level domain names underneath the “it” ccTLD2 in order to analyse the diffusion of Internet among families and businesses. The section of the database referring to domains registered by individuals is analysed. The penetration rate over the relevant population of potential adopters is computed at highly disaggregated geographical level (province). A concentration analysis is carried out to investigate whether the geographical distribution of Internet is less concentrated than population and income suggesting a diffusive effect. Regression analysis is carried out using demographic, social, economic and infrastructure indicators Finally we briefly describe the further developments of our research. At the present we are constructing a database containing domains registered by firms together with data about the registrants; the idea is to use this new database and the previous one in order to check for the existence of power laws both in the number of domains registered in each province and in the number of domains registered by each firm.

Keywords

Domain names Internet metrics Diffusion Power laws Zipf’s law 

References

  1. [1]
    Adamic L., Huberman B. (1999) Growth dynamics of the World Wide Web Nature, 401, page 131.Google Scholar
  2. [2]
    Albert L., Barabasi, R. A. (1999) Emergence of scaling in random networks Science, 286(5439) pages 509–512.CrossRefGoogle Scholar
  3. [3]
    Alexander G., Sidorov G. (2001). Zipf and Heaps laws’ coefficients depend on language. Proceeding of Conference on Intelligent Text Processing and Computational Linguistics (CICLing’2001), ed. Alexander Gelbukh, Lecture Notes in Computer Science, Vol. 2004 (Springer-Verlag), pages 332–335.Google Scholar
  4. [4]
    Axtel R. (2001) Zipf distribution of U.S. Firm Sizes. Science, 293, pages 1818–1820CrossRefGoogle Scholar
  5. [5]
    Blank A., Solomon S. (2000) Power laws in cities population, financial markets and Internet site (scaling in systems with variable number of components). Physica A, 287, pages 279–288.CrossRefGoogle Scholar
  6. [6]
    Coffman K.G. and Odlyzko A.M. (2001). Internet growth. ATandT Labs report.Google Scholar
  7. [7]
    Diez-Picazo G.F. (1999) An Analysis of International Internet Diffusion. Ph.D. Thesis, MIT.Google Scholar
  8. [8]
    Fujita M., Krugman P., Venables A. (1998) The spatial economy. MIT press, Massachusetts.Google Scholar
  9. [9]
    Gabaix X. (1999) Zipf’s Law for cities: an explanation. Quarterly Journal of Economics, pages 739–767.Google Scholar
  10. [10]
    Ingrassia S., Comis E., Mammana M. (1995). Internet in Italia-Un ‘indagine statistica. Università degli Studi di CataniaGoogle Scholar
  11. [11]
    Johansen A. (2001) Response time of Internauts. Physica A, 296, pages 539–546CrossRefGoogle Scholar
  12. [12]
    Jorgensen S., Mejer H., Nielsen S. (2001) Ecosystem as a self-organizing critical system. Ecological Modelling, 111, pages 261–268.CrossRefGoogle Scholar
  13. [13]
    Krugman (1996) The self-organizing economy. Blackwell, MandellGoogle Scholar
  14. [14]
    Mandelbrot B. (1965) Information theory and psycholinguistics. In Scientific Psychology: Principles and Approaches, eds. B. Wolman, E. Nagel (Basic, Books,1965), pages 550–562.Google Scholar
  15. [15]
    Naldi M. (1997). Size estimation and growth forecast of the Internet. Centro Volterra, Tor VergataGoogle Scholar
  16. [16]
    OECD (1998) Internet infrastructure indicators. OECD report.Google Scholar
  17. [17]
    Okuyama K., Takayasu M, Takayasu, H. (1999) Zipf law in income distribution of companies Physica A, 269, pages 125–131.CrossRefGoogle Scholar
  18. [18]
    Sornette D., Knopoff L., Kagan Y., Vanneste C. (1996) Rank-ordering statistics of extreme events: application to the distribution of large earthquakes. Journal of Geophysical Research, 101, pages 13883–13894.CrossRefGoogle Scholar
  19. [19]
    Zipf K.G. (1949) Human Behaviour and the principle of least effort. Addison-Wesley, Cambridge, Massachusetts.Google Scholar
  20. [20]
    Zook M.A. (1999). The Web of Consumption: Spatial Organisation of the Internet Industry in the United States. American Behavioural Scientist (forthcoming).Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2002

Authors and Affiliations

  • Andrea Bonaccorsi
    • 1
  • Cristina Rossi
    • 1
  • Arianna Del Soldato
    • 2
  • Maurizio Martinelli
    • 2
  • Irma Serrecchia
    • 2
  1. 1.Sant’Anna School of Advances StudiesPisaItaly
  2. 2.Institute for Informatics and Telematics-CNRPisaItaly

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