Standard

Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion. / Нвохири, Энтони М.; Печников, Андрей Анатольевич.

в: Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления, Том 15, № 3, 2019, стр. 337-352.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Нвохири, ЭМ & Печников, АА 2019, 'Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion.', Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления, Том. 15, № 3, стр. 337-352. <http://elibrary.ru/item.asp?id=41180257>

APA

Нвохири, Э. М., & Печников, А. А. (2019). Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion. Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления, 15(3), 337-352. http://elibrary.ru/item.asp?id=41180257

Vancouver

Нвохири ЭМ, Печников АА. Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion. Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления. 2019;15(3):337-352.

Author

Нвохири, Энтони М. ; Печников, Андрей Анатольевич. / Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion. в: Вестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления. 2019 ; Том 15, № 3. стр. 337-352.

BibTeX

@article{1f19f7e108ee4a51aa523801573626b8,
title = "Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion.",
abstract = "This paper describes a formalized procedure for exploring a site using webometrics methods. The procedure involves gathering details on a site{\textquoteright}s structure, constructing and exploring the resulting webgraph, defining the correctness criterion, identifying control actions that would improve the structure under the given criterion, testing the correctness criterion on real-world examples and developing recommendations on improving the structure. PageRank is used as a criterion to evaluate the value of web pages. The value is determined by the presence/absence of a link pointing to that page from the homepage of the site. Going by the correctness criterion, valuable pages of a site should have the highest PageRank among all other pages of that site. Control action consists of removing non-valuable directories (and transforming them into independent sites), whose root page has a high PageRank. Experiments are conducted on three faculty sites of major universities in USA, Russia and Nigeria. The approach is shown t",
keywords = "data mining, graph, PageRank, universities, url, Web harvesting, web mining, website, website structure, веб-майнинг, веб-сайт, график, извлечение веб-данных, интеллектуальный анализ данных, структура веб-сайта, университеты, data mining, graph, PageRank, universities, url, Web harvesting, web mining, website, website structure, веб-майнинг, веб-сайт, график, извлечение веб-данных, интеллектуальный анализ данных, структура веб-сайта, университеты",
author = "Нвохири, {Энтони М.} and Печников, {Андрей Анатольевич}",
year = "2019",
language = "English",
volume = "15",
pages = "337--352",
journal = " ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ",
issn = "1811-9905",
publisher = "Издательство Санкт-Петербургского университета",
number = "3",

}

RIS

TY - JOUR

T1 - Application of webometrics methods for analysis and enhancement of academic site structure based on page value criterion.

AU - Нвохири, Энтони М.

AU - Печников, Андрей Анатольевич

PY - 2019

Y1 - 2019

N2 - This paper describes a formalized procedure for exploring a site using webometrics methods. The procedure involves gathering details on a site’s structure, constructing and exploring the resulting webgraph, defining the correctness criterion, identifying control actions that would improve the structure under the given criterion, testing the correctness criterion on real-world examples and developing recommendations on improving the structure. PageRank is used as a criterion to evaluate the value of web pages. The value is determined by the presence/absence of a link pointing to that page from the homepage of the site. Going by the correctness criterion, valuable pages of a site should have the highest PageRank among all other pages of that site. Control action consists of removing non-valuable directories (and transforming them into independent sites), whose root page has a high PageRank. Experiments are conducted on three faculty sites of major universities in USA, Russia and Nigeria. The approach is shown t

AB - This paper describes a formalized procedure for exploring a site using webometrics methods. The procedure involves gathering details on a site’s structure, constructing and exploring the resulting webgraph, defining the correctness criterion, identifying control actions that would improve the structure under the given criterion, testing the correctness criterion on real-world examples and developing recommendations on improving the structure. PageRank is used as a criterion to evaluate the value of web pages. The value is determined by the presence/absence of a link pointing to that page from the homepage of the site. Going by the correctness criterion, valuable pages of a site should have the highest PageRank among all other pages of that site. Control action consists of removing non-valuable directories (and transforming them into independent sites), whose root page has a high PageRank. Experiments are conducted on three faculty sites of major universities in USA, Russia and Nigeria. The approach is shown t

KW - data mining

KW - graph

KW - PageRank

KW - universities

KW - url

KW - Web harvesting

KW - web mining

KW - website

KW - website structure

KW - веб-майнинг

KW - веб-сайт

KW - график

KW - извлечение веб-данных

KW - интеллектуальный анализ данных

KW - структура веб-сайта

KW - университеты

KW - data mining

KW - graph

KW - PageRank

KW - universities

KW - url

KW - Web harvesting

KW - web mining

KW - website

KW - website structure

KW - веб-майнинг

KW - веб-сайт

KW - график

KW - извлечение веб-данных

KW - интеллектуальный анализ данных

KW - структура веб-сайта

KW - университеты

M3 - Article

VL - 15

SP - 337

EP - 352

JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

SN - 1811-9905

IS - 3

ER -

ID: 78394354