Search results

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 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 purpose of this paper is to seek reasons for some videos going viral over YouTube (a type of social media platform).

Using YouTube APIs (Application Programming Interface) and Webometrics analyst tool, the authors collected data on about 100 all-time-most-viewed YouTube videos and information about the users associated with the videos. The authors constructed and tested an empirical model to understand the relationship among users’ social and non-social capital (e.g. User Age, Gender, View Count, Subscriber, Join Date, Total Videos Posted), video characteristics (Post Date, Duration, and Video Category), external network capital (in-links and hit counts), and Virality (Likes, Dislikes, Favorite Count, View Count, and Comment Count). Partial least square and Webometric analysis was used to explore the association among the constructs.

Among other findings, the results showed that popularity of the videos was not only the function of YouTube system per se, but that network dynamics (e.g. in-links and hits counts) and offline social capital (e.g. fan base and fame) play crucial roles in the viral phenomenon, particularly view count.

The authors for the first time constructed and tested an empirical model to find out the determinants of viral phenomenon over YouTube.

Link analysis is an established topic within webometrics. It normally uses counts of links between sets of web sites or to sets of web sites. These link counts are derived from web crawlers or commercial search engines with the latter being the only alternative for some investigations. This paper compares link counts with URL citation counts in order to assess whether the latter could be a replacement for the former if the major search engines withdraw their advanced hyperlink search facilities.

URL citation counts are compared with link counts for a variety of data sets used in previous webometric studies.

The results show a high degree of correlation between the two but with URL citations being much less numerous, at least outside academia and business.

The results cover a small selection of 15 case studies and so the findings are only indicative. Significant differences between results indicate that the difference between link counts and URL citation counts will vary between webometric studies.

Should link searches be withdrawn, then link analyses of less well linked non‐academic, non‐commercial sites would be seriously weakened, although citations based on e‐mail addresses could help to make citations more numerous than links for some business and academic contexts.

This is the first systematic study of the difference between link counts and URL citation counts in a variety of contexts and it shows that there are significant differences between the two.

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.

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.