In order to check this hypothesis in a global scenario, a risky approach involving webometric methods is proposed. Instead of traditional institutional affiliations, the institutional web domains will be used for the analysis (Aguillo 2009
Authors:Isidro Aguillo, José Ortega, Mario Fernández, and Ana Utrilla
The Ranking Web of World Repositories (http://repositories.webometrics.info) is introduced. The objective is to promote Open access initiatives (OAI) supporting the use of repositories for scientific
evaluation purposes. A set of metrics based on web presence, impact and usage is discussed. The Ranking is built on indicators
obtained from web search engines following a model close to the Impact Factor one. The activity accounts for a 50% of the
index, including number of pages, pdf files and items in Google Scholar database, while the visibility takes into account
the external inlinks received by the repository (the other 50%). The Ranking provides the Top 300 repositories from a total
of 592 worldwide, with a strong presence of US, German and British institutional repositories and the leadership of the large
subject repositories. Results suggest the need to take into consideration other file formats and the usage information, an
option is not feasible today.
Since the mid-1990s has emerged a new research field, webometrics, investigating the nature and properties of the Web drawing on modern informetric methodologies. The article attempts to point to selected areas of webometric research that demonstrate interesting progress and space for development as well as to some currently less promising areas. Recent investigations of search engine coverage and performance are reviewed as a frame for selected quality and content analyses. Problems with measuring Web Impact Factors (Web-IF) are discussed. Concluding the article, new directions of webometrics are outlined for performing knowledge discovery and issue tracking on the Web, partly based on bibliometric methodologies used in bibliographic and citation databases. In this framework graph theoretic approaches, including path analysis, transversal links, weak ties and small-world phenomena are integrated.
Authors:Sujin Choi, Ji-young Park, and Han Woo Park
Internet can be mapped by using webometric techniques. Webometrics is a new field, developed in the mid 1990 s, which investigates the nature and properties of the Web, drawing on scientometrics (Björneborn and Ingwersen 2001 ). It is now broadly defined
It is known that there are significant correlations between linking and geographical patterns. Although interlinking patterns
have been studied in various contexts, co-inlinking patterns on the Web have only been studied as indicator of business competitive
positions. This research studies the use of co-inlinks to local government Web sites, assesses whether co-inlinking follows
geographic patterns and investigates reasons for creating the co-inlinks. Strong evidence was found that co-inlinking is more
frequent to municipalities in the same functional region than to municipalities in different functional regions, indicating
that this geographic aspect influences co-inlinking, even though geographic co-inlinking was not a strong trend overall. Because
the functional regions are created based on cooperation between the municipalities, we have indirectly been able to map cooperation
from co-inlinking patterns on the Web. The main reason to create co-inlinking links to municipalities was that the source
of the links wanted to show a connection to its region.
university reputations now to some extent, not just in search engine ranking but also in the Webometrics ranking of world universities (Aguillo 2009 ). Nevertheless, practical problems with counting links to journals have increased due to the disappearance
Authors:Farzaneh Aminpour, Payam Kabiri, Zahra Otroj, and Abbas Keshtkar
Introduction There are many researches have been conducted on webometrics, especially the impacts of websites on each other and the web
impact factor. However, there are few studies focusing on the websites of Iranian universities. This study analyzed the websites
of Iranian universities of medical sciences according to the webometric indicators.
Method and materials In a cross-sectional study, the number of web pages, inlinks, external inlinks and also the overall and absolute web impact
factors for Iranian universities of medical sciences with active exclusive websites were calculated and compared using AltaVista
search engine. Finally, the websites were ranked based on these webometric indicators.
Results The results showed that the website of Tehran university of medical sciences with 49,300 web pages and 9860 inlinks was ranked
first for the size and number of inlinks, while its impact factor was ranked 38th. Rafsanjan UMS with 15 web pages and 211
links had the highest rank for the web impact factor among Iranian universities of medical sciences.
Discussions and conclusions The study revealed that Iranian universities of medical sciences did not have much impact on the web and were not well known
internationally. The major reason relies on linguistic barriers. Some of them also suffer from technical problems in their
It has been shown that information collected from and about links between web pages and web sites can reflect real world phenomena
and relationships between the organizations they represent. Yet, government linking has not been extensively studied from
a webometric point of view. The aim of this study was to increase the knowledge of governmental interlinking and to shed some
light on the possible real world phenomena it may indicate. We show that interlinking between local government bodies in Finland
follows a strong geographic, or rather a geopolitical pattern and that governmental interlinking is mostly motivated by official
cooperation that geographic adjacency has made possible.
Authors:Jean-Charles Lamirel, Shadi Shehabi, Claire Francois, and Xavier Polanco
This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model.
The goal of this new approach is to combine link and domain clustering in order to increase the reliability and the precision
of Webometrics studies. The extension proposed for the MultiSOM model is based on a Bayesian network-oriented approach. A
first experiment shows that the behaviour of such an extension is coherent with its expected properties for Webometrics. A
second experiment is carried out on a representative Web dataset issued from the EISCTES IST project context. In this latter
experiment each map represents a particular viewpoint extracted from the Web data description. The obtained maps represented
either thematic or link classifications. The experiment shows empirically that the communication between these classifications
provides Webometrics with new explaining capabilities.