Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature
  • Brief Communication
  • Published:

Internet

Growth dynamics of the World-Wide Web

Naturevolume 401, page131 (1999)Cite this article

Abstract

The exponential growth of the World-Wide Web has transformed it into an ecology of knowledge in which highly diverse information is linked in an extremely complex and arbitrary manner. But even so, as we show here, there is order hidden in the web. We find that web pages are distributed among sites according to a universal power law: many sites have only a few pages, whereas very few sites have hundreds of thousands of pages. This universal distribution can be explained by using a simple stochastic dynamical growth model.

This is a preview of subscription content,access via your institution

Access options

Access through your institution

Subscription info for Japanese customers

We have a dedicated website for our Japanese customers. Please go tonatureasia.com to subscribe to this journal.

Buy this article

  • Purchase on SpringerLink
  • Instant access to full article PDF

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Log–log plot of the distribution of pages in sites for Alexa and Infoseek crawls, which covered 259,794 and 525,882 sites, respectively.

Similar content being viewed by others

Article23 December 2021

References

  1. Zipf, G. K.Human Behavior and the Principle of Least Effort (Addison-Wesley, Cambridge, Massachusetts, 1949).

  2. Mantegna, R. N. et al.Phys. Rev. E52, 2939–2950 (1995).

    Article ADS CAS  Google Scholar 

  3. Gunther, R. et al.Int. J. Theor. Phys.35, 395–417 (1996).

    Article  Google Scholar 

  4. http://www.parc.xerox.com/iea/www/growth.html

  5. Crow, E. L & Shimizu, K.Lognormal Distributions: Theory and Applications (Dekker, New York, 1988).

  6. Huberman, B. A., Pirolli, P., Pitkow, J. & Lukose, R. M.Science280, 95–97 (1998).

    Article ADS CAS  Google Scholar 

  7. Huberman, B. A. & Lukose, R. M.Science277, 535–538 (1997).

    Article CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Xerox Palo Alto Research Center, 3333 Coyote Hill, Palo Alto, 94304, California, USA

    Bernardo A. Huberman & Lada A. Adamic

Authors
  1. Bernardo A. Huberman

    You can also search for this author inPubMed Google Scholar

  2. Lada A. Adamic

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toLada A. Adamic.

Rights and permissions

This article is cited by

Access through your institution
Buy or subscribe

Advertisement

Search

Advanced search

Quick links

Nature Briefing

Sign up for theNature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox.Sign up for Nature Briefing
[8]ページ先頭
©2009-2025 Movatter.jp