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

Mapping the UK Webspace: Fifteen Years of British Universities on the Web

This paper maps the national UK web presence on the basis of an analysis of the .uk domain from 1996 to 2010. It reviews previous attempts to use web archives to understand national web domains and describes the dataset. Next, it presents an analysis of the .uk domain, including the overall number of links in the archive and changes in the link density of different second-level domains over time. We then explore changes over time within a particular second-level domain, the academic subdomain .ac.uk, and compare linking practices with variables, including institutional affiliation, league table ranking, and geographic location. We do not detect institutional affiliation affecting linking practices and find only partial evidence of league table ranking affecting network centrality, but find a clear inverse relationship between the density of links and the geographical distance between universities. This echoes prior findings regarding offline academic activity, which allows us to argue that real-world factors like geography continue to shape academic relationships even in the Internet age. We conclude with directions for future uses of web archive resources in this emerging area of research.Comment: To appear in the proceeding of WebSci 201

Web Impact Factor and link analysis of Central University Websites of North Eastern States of India

This study was conducted to observe the websites of Ten Central Universities situated in the north-eastern states of India and find out the three different Web Impact Factors viz. Simple, Revived & External Web Impact Factors of the websites under study. This paper shows the status of those websites finding out different number of hyperlinks to and from the websites. The paper also shows how the numbers of webpages in a websites as compared to the number of different links plays huge role in the utility of the website

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

Influence of language and file type on the web visibility of top European universities

Purpose The purpose of this paper is to detect whether both file type (a set of rich and web files) and language (English, Spanish, German, French and Italian) influence the web visibility of European universities. Design/methodology/approach A webometrics analysis of the top 200 European universities (as ranked in the Ranking web of World Universities) was carried out by a manual query for each official URL identified by using the Google search engine (April 2012). A correlation analysis between visibility and file format page count is offered according to language. Finally, a prediction of visibility is shown by using the SMOreg function. Findings The results indicate that Spanish and English are the languages that correlate most highly with web visibility. This correlation becomes greater though moderate when considering only PDF files. Research limitations/implications The results are limited due to the low correlation between overall page count and visibility. The lack of an accurate search engine that would assist in link counting procedures makes this process difficult. Originality/value An observed increase in correlation although moderate while analysing PDF files (in English and Spanish) is considered to be meaningful. This may indirectly confirm that specific file formats and languages generate different web visibility behaviour on European university web sites.Orduña Malea, E.; Ortega, JL.; Aguillo, IF. (2014). Influence of language and file type on the web visibility of top European universities. Aslib Journal of Information Management. 66(1):96-116. doi:10.1108/AJIM-02-2013-0018S96116661Aguillo, I.F. and Granadino, B. (2006), “Indicadores web para medir la presencia de las universidades en la Red”, Revista de universidad y Sociedad del Conocimiento, Vol. 3 No. 1, pp. 68-75.Aguillo, I.F. , Granadino, B. , Ortega, J.L. and Prieto, J.A. 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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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Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

The final publication is available at Springer via http://dx.doi.org/ 10.1007/s11192-016-1839-zLink analysis is highly effective in detecting relationships between different institutions, relationships that are stronger the greater their geographical proximity. We therefore decided to apply an interlinking analysis to a set of geographically dispersed research entities and to compare the results with the co-authorship patterns between these institutions in order to determine how, and if, these two techniques might reveal complementary insights. We set out to study the specific sector of public health in Spain, a country with a high degree of regional autonomy. We recorded all Spanish health entities (and their corresponding URLs) that belong to, and were hyperlinked from, the national government or any of the regional governments, gathering a total of 263 URLs. After considering their suitability for web metric analysis, interlinking scores between all valid URLs were obtained. In addition, the number of co-authored articles by each pair of institutions and the total scientific output per institution were retrieved from Scopus. Both interlinking and co-authorship methods detect the existence of strength subnets of geographically distributed nodes (especially the Catalan entities) as well as their high connectivity with the main national network nodes (subnet of nodes distributed according to dependence on national government, in this case Spain). However, the resulting interlinking pattern shows a low but significant correlation (r = 0.5) with scientific co-authorship patterns. The existence of institutions that are strongly interlinked but with limited scientific collaboration (and vice versa) reveals that links within this network are not accurately reflecting existing scientific collaborations, due to inconsistent web content development.Ontalba Ruipérez, JA.; Orduña Malea, E.; Alonso-Arroyo, A. (2016). 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The collaboration structures among European Union national libraries in their Web portals and social networks

[ES]Las bibliotecas nacionales, en cuanto que cabeceras de sus respectivos sistemas bibliotecarios, realizan diversas funciones que se ven reflejadas en sus res-pectivos portales web. Igualmente muchas bibliote-cas nacionales han adoptado sistemas de interco-municación específicos de la Web 2. 0, incorporándo-se a las redes sociales. Los hiperenlaces de estos portales hacia otros sitios web reflejan algún tipo de relación, y lo mismo sucede con seguimientos, sus-cripciones y flujos de mensajes a través de las redes sociales, de manera que un análisis de estos elemen-tos podría ayudarnos a descubrir estructuras y áreas de colaboración entre ellas. En este trabajo se han analizado los portales web de las bibliotecas nacio-nales de los estados miembros de la Unión Europea, así como su actividad en Twitter. Se aprecia un bajo nivel de interrelación entre ellas, aunque se detecta un núcleo de bibliotecas nacionales con unos flujos de colaboración estables y un conjunto de bibliotecas periféricas, con muy débil relación con dicho núcleo

Estructuras de colaboración entre las Bibliotecas Nacionales de la Comunidad Europea a través de sus portales web y de las redes sociales

National Libraries, as their library systems’ heads, perform several tasks which are depicted, to some extent, through their websites. Besides, a major group of theses national libraries also use interlinking systems from the Web 2. 0, taking part in social networks. Web links targeting other websites show some kind of relationship, and this also occurs in the social networks with followings, subscriptions and similar. In this way, studying these elements should help us to discover structures and areas of cooperation among them. In this paper, European Union national libraries’ webpages are analyzed, as well as their activity in Twitter. In general, a low level of interaction between them can be appreciated. However, a central core of national libraries can be depicted, with stable relationships and collaborative networks among them. Also, a group of outlier libraries can be clearly seen, with very weak interaction with that core.Las bibliotecas nacionales, en cuanto que cabeceras de sus respectivos sistemas bibliotecarios, realizan diversas funciones que se ven reflejadas en sus res-pectivos portales web. Igualmente muchas bibliote-cas nacionales han adoptado sistemas de interco-municación específicos de la Web 2. 0, incorporándo-se a las redes sociales. Los hiperenlaces de estos portales hacia otros sitios web reflejan algún tipo de relación, y lo mismo sucede con seguimientos, sus-cripciones y flujos de mensajes a través de las redes sociales, de manera que un análisis de estos elemen-tos podría ayudarnos a descubrir estructuras y áreas de colaboración entre ellas. En este trabajo se han analizado los portales web de las bibliotecas nacio-nales de los estados miembros de la Unión Europea, así como su actividad en Twitter. Se aprecia un bajo nivel de interrelación entre ellas, aunque se detecta un núcleo de bibliotecas nacionales con unos flujos de colaboración estables y un conjunto de bibliotecas periféricas, con muy débil relación con dicho núcleo