Literature DB >> 9525865

Strong regularities in world wide web surfing

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Abstract

One of the most common modes of accessing information in the World Wide Web is surfing from one document to another along hyperlinks. Several large empirical studies have revealed common patterns of surfing behavior. A model that assumes that users make a sequence of decisions to proceed to another page, continuing as long as the value of the current page exceeds some threshold, yields the probability distribution for the number of pages that a user visits within a given Web site. This model was verified by comparing its predictions with detailed measurements of surfing patterns. The model also explains the observed Zipf-like distributions in page hits observed at Web sites.

Year:  1998        PMID: 9525865     DOI: 10.1126/science.280.5360.95

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  28 in total

1.  Development of a self-assessment method for patients to evaluate health information on the Internet.

Authors:  J Jones
Journal:  Proc AMIA Symp       Date:  1999

2.  Language as an evolving word web.

Authors:  S N Dorogovtsev; J F Mendes
Journal:  Proc Biol Sci       Date:  2001-12-22       Impact factor: 5.349

3.  Classes of small-world networks.

Authors:  L A Amaral; A Scala; M Barthelemy; H E Stanley
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

4.  Extracting knowledge from the World Wide Web.

Authors:  Monika Henzinger; Steve Lawrence
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-26       Impact factor: 11.205

5.  Traffic-based feedback on the web.

Authors:  Jonathan Aizen; Daniel Huttenlocher; Jon Kleinberg; Antal Novak
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-06       Impact factor: 11.205

6.  A Novel Framework for Medical Web Information Foraging Using Hybrid ACO and Tabu Search.

Authors:  Yassine Drias; Samir Kechid; Gabriella Pasi
Journal:  J Med Syst       Date:  2015-10-29       Impact factor: 4.460

7.  Bee Swarm Optimization for Medical Web Information Foraging.

Authors:  Yassine Drias; Samir Kechid; Gabriella Pasi
Journal:  J Med Syst       Date:  2015-11-21       Impact factor: 4.460

8.  Risk markers for disappearance of pediatric Web resources.

Authors:  Angel A Hernández-Borges; Alejandro Jiménez-Sosa; Maria L Torres-Alvarez de Arcaya; Pablo Macías-Cervi; Maria A Gaspar-Guardado; Ana Ruíz-Rabaza
Journal:  J Med Libr Assoc       Date:  2005-07

9.  Winners don't take all: Characterizing the competition for links on the web.

Authors:  David M Pennock; Gary W Flake; Steve Lawrence; Eric J Glover; C Lee Giles
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

10.  A Poissonian explanation for heavy tails in e-mail communication.

Authors:  R Dean Malmgren; Daniel B Stouffer; Adilson E Motter; Luís A N Amaral
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-18       Impact factor: 11.205

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