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Strong regularities in world wide web surfing

Huberman1, Pirolli, Pitkow

  • 1Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA.

Science (New York, N.Y.)
|April 16, 1998
PubMed
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Web users navigate hyperlinks, making decisions based on page value. A new model predicts user browsing patterns and explains website traffic distributions.

Area of Science:

  • Computer Science
  • Information Science
  • Web Analytics

Background:

  • Hyperlink navigation is a primary method for accessing information on the World Wide Web.
  • Empirical studies have identified common patterns in user web surfing behavior.

Purpose of the Study:

  • To develop a model predicting the number of pages a user visits within a website.
  • To explain observed Zipf-like distributions in website page hits.

Main Methods:

  • A decision-making model was developed, assuming users continue browsing as long as the current page's value exceeds a threshold.
  • The model's predictions were validated against detailed measurements of user surfing patterns.

Main Results:

  • The model accurately predicts the probability distribution for the number of pages visited by users on a website.

Related Experiment Videos

  • The model successfully explains the Zipf-like distributions commonly observed in website page hit data.

    • Conclusions:

    • The proposed model provides a robust framework for understanding and predicting user web navigation behavior.
    • This research offers insights into the underlying mechanisms driving website traffic patterns and user engagement.