Why are Websites co-linked? the case of Canadian universities

This study examined why Websites were co-linked using Canadian university Websites as the test set. Pages that co-linked to these university Websites were located using Yahool. A random sample of 859 co-linking pages (the page that initiated the co-link) was retrieved and the contents of the page, as well as the context of the link, were manually examined to record the following variables: language, country, type of Website, and the reasons for co-linking. The study found that in over 94% of cases, the two co-linked universities were related academically; many of these cases (38%) showed a relationship specifically in teaching or research. This confirms results, from previous quantitative studies, that Web co-links can be a measure of the similarity or relatedness of sites being co-linked and that Web co-link analysis can thus be used to study relationships among linked Websites. Copyright © 2007 Akadémiai Kiadó Budapest All rights reserved

ArticleRank: a PageRank-based alternative to numbers of citations for analysing citation networks

Purpose - The purpose of this paper is to suggest an alternative to the widely used Times Cited criterion for analysing citation networks. The approach involves taking account of the natures of the papers that cite a given paper, so as to differentiate between papers that attract the same number of citations. Design/methodology/approach - ArticleRank is an algorithm that has been derived from Google's PageRank algorithm to measure the influence of journal articles. ArticleRank is applied to two datasets - a citation network based on an early paper on webometrics, and a self-citation network based on the 19 most cited papers in the Journal of Documentation - using citation data taken from the Web of Knowledge database. Findings - ArticleRank values provide a different ranking of a set of papers from that provided by the corresponding Times Cited values, and overcomes the inability of the latter to differentiate between papers with the same numbers of citations. The difference in rankings between Times Cited and ArticleRank is greatest for the most heavily cited articles in a dataset. Originality/value - This is a novel application of the PageRank algorithm

Benchmarking level interactivity of Indonesia government university websites

Website interactivity is increasingly essential for higher education institutions in maintaining their relationship with stakeholders. However, limited is known what the level interactivity of a university website is without comparing with other similar educational institutions. Through the use of website content analysis and benchmarking strategy, we evaluate 41 government university website for benchmarking purposes. Base on thirteen interactive criteria, we successfully benchmarked the government university websites and built a-five levels of websites interactivity with different features. Our study highlights that higher level interactivity of website contains more feature that support a two-way communication between university and consumers, while lower level of websites interactivity merely have basic features for communication. The findings suggest the highest level of websites interactivity, the more features they should have. More importantly, the findings suggest web developer to design more interactive features in developing a higher level of website interactivity

Webometric Analysis of Central Universities in India: A Study

Web presence of Indian Universities has been reflected in general and Central Universities in particular. Webometric data have been collected through Yahoo! and Google search engines using special query syntax. An attempt has been made to rank Central Universities in India using appropriate webometric indicators. Results reveled that University of Delhi becomes top rank (with score 4.28 and Sikkim University occupied the last (with score 1.64) among Central Universities in India

Mapping the backbone of the Humanities through the eyes of Wikipedia

The present study aims to establish a valid method by which to apply the theory of co-citations to Wikipedia article references and, subsequently, to map these relationships between scientific papers. This theory, originally applied to scientific literature, will be transferred to the digital environment of collective knowledge generation. To this end, a dataset containing Wikipedia references collected from Altmetric and Scopus’ Journal Metrics journals has been used. The articles have been categorized according to the disciplines and specialties established in the All Science Journal Classification (ASJC). They have also been grouped by journal of publication. A set of articles in the Humanities, comprising 25 555 Wikipedia articles with 41 655 references to 32 245 resources, has been selected. Finally, a descriptive statistical study has been conducted and co-citations have been mapped using networks and indicators of degree and betweenness centralit

Science through Wikipedia: A novel representation of open knowledge through co-citation networks

We thank Altmetric.com for the transfer of the data that has allowed us to conduct this studyThis study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their references to scientific papers. The method of co-citation has been adapted to this context in order to generate Pathfinder networks (PFNET) that highlight the most relevant scientific journals and categories, and their interactions in order to find out how scientific literature is consumed through this open encyclopaedia. In addition to this, their obsolescence has been studied through Price index. A total of 1 433 457 references available at Altmetric.com have been initially taken into account. After pre-processing and linking them to the data from Elsevier's CiteScore Metrics the sample was reduced to 847 512 references made by 193 802 Wikipedia articles to 598 746 scientific articles belonging to 14 149 journals indexed in Scopus. As highlighted results we found a significative presence of “Medicine” and “Biochemistry, Genetics and Molecular Biology” papers and that the most important journals are multidisciplinary in nature, suggesting also that high-impact factor journals were more likely to be cited. Furthermore, only 13.44% of Wikipedia citations are to Open Access journals

Are web mentions accurate substitutes for inlinks for Spanish universities?

This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limitedurpose – Title and URL mentions have recently been proposed as web visibility indicators instead of inlink counts. The objective of this study is to determine the accuracy of these alternative web mention indicators in the Spanish academic system, taking into account their complexity (multi-domains) and diversity (different official languages). Design/methodology/approach – Inlinks, title and URL mentions from 76 Spanish universities were manually extracted from the main search engines (Google, Google Scholar, Yahoo!, Bing and Exalead). Several statistical methods, such as correlation, difference tests and regression models, were used. Findings – Web mentions, despite some limitations, can be used as substitutes for inlinks in the Spanish academic system, although these indicators are more likely to be influenced by the environment (language, web domain policy, etc.) than inlinks. Research limitations/implications – Title mentions provide unstable results caused by the multiple name variants which an institution can present (such as acronyms and other language versions). URL mentions are more stable, but they may present atypical points due to some shortcomings, the effect of which is that URL mentions do not have the same meaning as inlinks. Practical implications – Web mentions should be used with caution and after a cleaning-up process. Moreover, these counts do not necessarily signify connectivity, so their use in global web analysis should be limited. 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Аналіз моделей процесу утворення транспортних заторів

В даній роботі проведено аналіз існуючих на сього днішній день спроб пояснення процесу виникнення транспортних заторів та їх відповідних моделей. Аналіз показав, що стан цієї проблеми повно та остаточно не розкрито, більшість теоретичних моделей мають недоліки, які пов’язані чи то з вузькою областю застосування, чи то з великим спрощенням характеристик потоку, що призво дить до великих розходжень з практичними розрахунками. При цитуванні документа, використовуйте посилання http://essuir.sumdu.edu.ua/handle/123456789/1327