Web structure in 2005

Yu Hirate, Shin Kato, Hayato Yamana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The estimated number of static web pages in Oct 2005 was over 20.3 billion, which was determined by multiplying the average number of pages per web server based on the results of three previous studies, 200 pages, by the estimated number of web servers on the Internet, 101.4 million. However, based on the analysis of 8.5 billion web pages that we crawled by Oct. 2005, we estimate the total number of web pages to be 53.7 billion. This is because the number of dynamic web pages has increased rapidly in recent years. We also analyzed the web structure using 3 billion of the 8.5 billion web pages that we have crawled. Our results indicate that the size of the "CORE," the central component of the bow tie structure, has increased in recent years, especially in the Chinese and Japanese web.

Original languageEnglish
Title of host publicationAlgorithms and Models for the Web-Graph - Fourth International Workshop, WAW 2006, Revised Papers
Pages36-46
Number of pages11
DOIs
Publication statusPublished - 2008 Aug 14
Event4th International Workshop on Algorithms and Models for the Web-Graph, WAW 2006 - Banff, AB, Canada
Duration: 2006 Nov 302006 Dec 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4936 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Algorithms and Models for the Web-Graph, WAW 2006
CountryCanada
CityBanff, AB
Period06/11/3006/12/1

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hirate, Y., Kato, S., & Yamana, H. (2008). Web structure in 2005. In Algorithms and Models for the Web-Graph - Fourth International Workshop, WAW 2006, Revised Papers (pp. 36-46). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4936 LNCS). https://doi.org/10.1007/978-3-540-78808-9_4