Search results

Purpose – To investigate the potential of the semantic web as a source of information about social networks within academia, as well as more widely for webometric investigations.

Methodology – The functionality of five semantic search engines were analyzed to determine their suitability for webometric investigations, with the most suitable, Sindice.com, then being used to investigate the use of Friend of a Friend (FOAF) within UK academic web space.

Findings – In comparison to the web of documents, the semantic web is still a small part of online content. Even the well-established FOAF social vocabulary was not found on the majority of academic web sites, let alone being found to represent the majority of academics, and provided little indication of social networks between institutions. Nonetheless from a webometric perspective the study does show the potential of a semantic web for a far wider range of webometric investigations, and demonstrates that, unlike the traditional web, there are currently useful tools available.

Implications – Having established that there are appropriate tools available for webometric investigations of the semantic web, and acknowledging the potential of the semantic web for far more detailed webometric investigations, there is a need for additional studies to determine the specific strengths and limitations of the tools that are available, and investigate those areas where webometric investigations can provide the most useful insights.

Originality/value – The research applies established webometric methodologies to the social semantic web, demonstrating the potential of a whole new area for future webometric investigation.

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

The purpose of this paper is to describe the methods and findings of a pilot study which applied bibliometrics and webometrics to examine collaboration in Malaysian biotechnology.

The research applied bibliometric and webometric methods to publications and web sites affiliated with Malaysian institutions. The bibliometric analysis focused on biotechnology‐related journal articles indexed in Web of Knowledge. The webometric analysis examined the web sites of top biotechnology institutions generated in the bibliometric analysis. Collaboration behaviour was assessed in three ways: intra‐institutional versus inter‐institutional; national versus international collaboration; and by type of institution collaboration according to the triple helix model.

Findings of the pilot study, which applied bibliometric and webometric analyses to a limited sample, indicate that the methodologies will collect the desired data for a more extensive study.

The quantitative research results describe the collaboration evident in publications and web sites, but not why it has happened in such a way.

The methodologies provide a framework for similar research exploring the impacts of collaboration in an e‐research environment. The methodology is innovative and practical in terms of the combined use of bibliometric and webometric analyses.

This is one of few studies that has examined collaboration using both bibliometric and webometric methods, and elements of the methodology appear to be unique to the study. The methodologies will contribute to an emerging body of literature that explores the nature of research productivity and research collaboration.

Webometric studies, using hyperlinks between websites as the basic data type, have been used to assess academic networks, the “impact factor” of academic communications and to analyse the impact of online digital libraries, and the impact of digital scholarly images. This study aims to be the first to use these methods to trace the impact, or success, of digitised scholarly resources in the Humanities. Running alongside a number of other methods of measuring impact online, the webometric study described here also aims to assess whether it is possible to measure a resource's impact using webometric analysis.

Link data were collected for five target project sites and a range of comparator sites.

The results show that digitised resources online can leave traces that can be identified and used to assess their impact. Where digitised resources are situated on shifting URLs, or amalgamated into larger online resources, their impact is difficult to measure with these methods, however.

This study is the first to use webometric methods to probe the impact of digitised scholarly resources in the Humanities.

The purpose of this paper is to explore webometric analysis of keywords and expressions of the biochemistry field of study via LexiURL Searcher.

Interfaces for assisting users with information access have received considerable attention. Along with the extraction of data on Web sites for webometric purposes (e.g. link analysis, ranking of Web sites, etc.), LexiURL Searcher presents some information on the arrangement of links among different Web sites. Such capability enables users to identify one or more Web sites around their intended subject and, accordingly, explore all Web sites linked with their identified Web site(s). LexiURL Searcher has preceded webometric analysis by considering the main expressions and keywords derived from the MeSH database.

The worldwide survey indicated that links from countries such as England, Japan, Germany, Australia and Canada were among the Web sites that are most used in biochemistry. Alternatively, other countries such as Singapore, Thailand and Poland had the most advantageous links to the outside world, whereas South Africa, New Zealand and The Netherlands had the least link effect. Biochemistry, being a specialized domain, would benefit greatly from site linking and would provide users the most assistance in information processing.

Most webometric studies remain on the level of link analysis and Web site statuses; however, this paper gives information on the common thread Web sites based on a standard thesaurus.

This study aims to design a proposed framework for evaluating university websites.

This study is an exploratory mixed research. It was an applied research in terms of objective and used the Delphi technique and systematic review and meta-analysis approaches. Data collection tools were done through library studies, Delphi checklist and observation. The statistical population of the research comprised 17 experts who are designers of university websites and 20 Iranian university websites selected from the Webometrics website. The statistical data were analyzed using fuzzy methods, descriptive and inferential statistical methods and the SWARA weighting method. Also, the statistical analysis software SPSS 20 and Excel 2016, TOPSIS engineering software and MAXQDA were used.

Findings indicated that the dimensions of the designed proposed framework in order of their weights are credibility (0.130), reliability (0.125), usability (0.120), website design (0.110), functionality (0.104), content (0.100), page design (0.0922), efficiency (0.082), Webometrics (0.070) and systematic evaluation (0.067). Mebrate’s (2010) framework had the highest overlap (mean = 74.65), and Webometrics (mean = 18.5) had the least overlap and dependency (mean = 19) with the proposed framework. In the evaluation of the 20 university websites of Iran selected from the Webometrics site, the University of Tehran was ranked first with a score of 82.7 and Shiraz University was ranked last with a score of 75.

This study provides a comprehensive proposed framework for evaluating university websites that eliminates the shortcomings of all models, frameworks and methods of university website evaluation that focused only on one or more dimensions of university websites.

The purpose of this paper is to examine the diffusion of a popular Korean music video on the video-sharing web site YouTube. It applies a webometric approach in the diffusion of innovations framework to study three elements of diffusion in a Web 2.0 environment: users, user-to-user relationship and user-generated comment.

The webometric approach combines profile analyses, social network analyses, semantic and sentiment analyses.

The results show that male users in the US played a dominant role in the early-stage diffusion. The dominant users represented the innovators and early adopters in the evaluation stage of the diffusion, and they engaged in continuous discussions about the cultural origin of the video and expressed criticisms. Overall, the discussion between users varied according to their gender, age, and cultural background. Specifically, male users were more interactive than female users, and users in countries culturally similar to Korea were more likely to express favourable attitudes toward the video.

The study provides a webometric approach to examine the Web 2.0-based social system in the early-stage global diffusion of cultural offerings. This approach connects the diffusion of innovations framework to the new context of Web 2.0-based diffusion.

Webometric techniques have been applied to many websites and online resources, especially since the launch of Google Analytics (GA). To date, though, there has been little consideration of information behaviour in relation to digitised newspaper collections. The purpose of this paper is to address a perceived gap in the literature by providing an account of user behaviour in the newly launched Welsh Newspapers Online (WNO).

The author collected webometric data for WNO using GA and web server content logs. These were analysed to identify patterns of engagement and user behaviour, which were then considered in relation to existing information behaviour.

Use of WNO, while reminiscent of archival information seeking, can be understood as centring on the web interface rather than the digitised material. In comparison to general web browsing, users are much more deeply engaged with the resource. This engagement incorporates reading online, but users’ information seeking utilises website search and browsing functionality rather than filtering in newspaper material. Information seeking in digitised newspapers resembles the model of the “user” more closely than that of the “reader”, a value-laden distinction which needs further unpacking.

While the behaviour discussed in this paper is likely to be more widely representative, a larger longitudinal data set would increase the study’s significance. Additionally, the methodology of this paper can only tell us what users are doing, and further research is needed to identify the drivers for this behaviour.

This study provides important insights into the underinvestigated area of digitised newspaper collections, and shows the importance of webometric methods in analysing online user behaviour.

This study aims to introduce a method based on link analysis to investigate the structure of the R&D support infrastructure associated with science parks in order to determine whether this webometric approach gives plausible results.

Three science parks from Yorkshire and the Humber in the UK were analysed with webometric and social network analysis techniques. Interlinking networks were generated through the combination of two different data sets extracted from three sources (Yahoo!, Bing, SocSciBot).

These networks suggest that institutional sectors, representing business, universities and public bodies, are primarily tied together by a core formed by research institutions, support structure organisations and business developers. The comparison of the findings with traditional indicators suggests that the web‐based networks reflect the offline conditions and policy measures adopted in the region, giving some evidence that the webometric approach is plausible to investigating science park networks.

This is the first study that applies a web‐based approach to investigate to what extent the science parks facilitate a closer interaction between the heterogeneous organisations that converge in R&D networks. This indicates that link analysis may help to get a first insight into the organisation of the R&D support infrastructure provided by science parks.

The present study aims at determining the most accredited free English electronic journals (EJs) in Medical Sciences, as finding free scholarly EJs including medical ones is difficult in the web environment.

The research population consisted of 700 free EJs of Medical Sciences, which were collected from two reputable websites, namely, Directory of Open Access Journals and Free Medical Journals. After first screening, 269 free EJs including 76 journals in health, 4 journals in nursing, 175 journals in medicine and 14 free EJs in dentistry remained for final investigation […].

The most accredited journals in four medical disciplines studied here are health: New South Wales Public Health Bulletin, PLoS Biology and Environmental Health Perspectives – National Institute of Environmental Health Sciences; nursing: Online Journal of Rural Nursing and Health Care and Online Journal of Nursing Informatics […].

This research can be treated as an addition to the webometrics literature.