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Research of university sites internal links distribution. / Blekanov, Ivan; Sergeev, Sergei; Maksimov, Aleksei; Moskalets, Roman.

Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 182-185 8011875.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование

Harvard

Blekanov, I, Sergeev, S, Maksimov, A & Moskalets, R 2017, Research of university sites internal links distribution. в Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017., 8011875, Institute of Electrical and Electronics Engineers Inc., стр. 182-185, 3rd International Conference on Science and Technology-Computer, ICST 2017, Yogyakarta, Индонезия, 10/07/17. https://doi.org/10.1109/ICSTC.2017.8011875

APA

Blekanov, I., Sergeev, S., Maksimov, A., & Moskalets, R. (2017). Research of university sites internal links distribution. в Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017 (стр. 182-185). [8011875] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSTC.2017.8011875

Vancouver

Blekanov I, Sergeev S, Maksimov A, Moskalets R. Research of university sites internal links distribution. в Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017. Institute of Electrical and Electronics Engineers Inc. 2017. стр. 182-185. 8011875 https://doi.org/10.1109/ICSTC.2017.8011875

Author

Blekanov, Ivan ; Sergeev, Sergei ; Maksimov, Aleksei ; Moskalets, Roman. / Research of university sites internal links distribution. Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 182-185

BibTeX

@inproceedings{06fbcb52f34b4bd1af076ca62fd28bdc,
title = "Research of university sites internal links distribution",
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.",
keywords = "incoming links, power law distribution, university sites, web graph, webpages",
author = "Ivan Blekanov and Sergei Sergeev and Aleksei Maksimov and Roman Moskalets",
year = "2017",
month = aug,
day = "16",
doi = "10.1109/ICSTC.2017.8011875",
language = "English",
pages = "182--185",
booktitle = "Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "3rd International Conference on Science and Technology-Computer, ICST 2017 ; Conference date: 10-07-2017 Through 11-07-2017",

}

RIS

TY - GEN

T1 - Research of university sites internal links distribution

AU - Blekanov, Ivan

AU - Sergeev, Sergei

AU - Maksimov, Aleksei

AU - Moskalets, Roman

PY - 2017/8/16

Y1 - 2017/8/16

N2 - 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.

AB - 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.

KW - incoming links

KW - power law distribution

KW - university sites

KW - web graph

KW - webpages

UR - http://www.scopus.com/inward/record.url?scp=85029295145&partnerID=8YFLogxK

U2 - 10.1109/ICSTC.2017.8011875

DO - 10.1109/ICSTC.2017.8011875

M3 - Conference contribution

AN - SCOPUS:85029295145

SP - 182

EP - 185

BT - Proceeding - 2017 3rd International Conference on Science and Technology-Computer, ICST 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Science and Technology-Computer, ICST 2017

Y2 - 10 July 2017 through 11 July 2017

ER -

ID: 9278212