Research of university sites internal links distribution

Ivan Blekanov, Sergei Sergeev, Aleksei Maksimov, Roman Moskalets

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2 Scopus citations

Abstract

The article covers the university websites webpages distribution analysis in terms of the number of incoming internal links. Papers by A. Broder and R. Kumar (2000), Barabasi and Albert (1999) represent, that the distribution follows a power law with the exponent of around 2.1. However, we have recently developed a method that allows to size up website's webpages by studying just 10% of the site itself. Within the research we came across the idea, that university sites have particular characteristics, therefore they have a different exponent. This article contains the description of the experiment results conducted by the article authors, the experiment includes 97 university sites from top 500 Webometrics ranking. Power approximating curves, that describe incoming links distribution, have been drawn for each site. The average exponent among all sites is about 1.8.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages182-185
Number of pages4
ISBN (Electronic)9781538618745
DOIs
StatePublished - 16 Aug 2017
Event3rd International Conference on Science and Technology-Computer, ICST 2017 - Yogyakarta, Indonesia
Duration: 10 Jul 201711 Jul 2017

Conference

Conference3rd International Conference on Science and Technology-Computer, ICST 2017
CountryIndonesia
CityYogyakarta
Period10/07/1711/07/17

Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Engineering (miscellaneous)

Keywords

  • incoming links
  • power law distribution
  • university sites
  • web graph
  • webpages

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