Factors affecting web links between European higher education institutions

Seeber, Marco; Lepori, Benedetto; Lomi, Alessandro; Aguillo, Isidro F.; Barberio, Vitaliano

doi:10.1016/j.joi.2012.03.001

Cited by 26 publications

(17 citation statements)

References 34 publications

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“…In order to be able to interpret the meaning of hyperlink and other indicators, positive significant correlations with established indicators are not enough (Seeber, Lepori, Lomi, Aguillo, & Barberio, ) and content analyses are also needed to get insights into why links are created (Bar‐Ilan, ; Thelwall, ). Link motivation studies have found many different reasons why hyperlinks are created, mostly related to the main activities of the target organization (Harries, Wilkinson, Price, Fairclough, & Thelwall, ; Kim, ; Park, ; Smith, ; Thelwall, ).…”

Section: Introductionmentioning

confidence: 99%

Web citations in patents: Evidence of technological impact?

Orduña-Malea

Thelwall

Kousha

2017

Asso for Info Science & Tech

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Patents sometimes cite web pages either as general background to the problem being addressed or to identify prior publications that will limit the scope of the patent granted. Counts of the number of patents citing an organisation's website may therefore provide an indicator of its technological capacity or relevance. This article introduces methods to extract URL citations from patents and evaluates the usefulness of counts of patent web citations as a technology indicator. An analysis of patents citing 200 US universities or 177 UK universities found computer science and engineering departments to be frequently cited, as well as research-related web pages, such as Wikipedia, YouTube or Internet Archive. Overall, however, patent URL citations seem to be frequent enough to be useful for ranking major US and the top few UK universities if popular hosted subdomains are filtered out, but the hit count estimates on the first search engine results page should not be relied upon for accuracy.

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Section: Introductionmentioning

confidence: 99%

Web citations in patents: Evidence of technological impact?

Orduña-Malea

Thelwall

Kousha

2017

Asso for Info Science & Tech

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“…One method that has been explored in webometric studies is interlink analysis, which allows mapping the volume of links exchanged between two or more sites 13 . This type of analy-sis has proven highly useful for studying institutional relations, but its application has still been limited to academia, with a focus on university sites 14,15,16,17,18 .…”

Section: Methodsmentioning

confidence: 99%

Health research networks on the web: an analysis of the Brazilian presence

2014

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In order to map Brazilian institutions’ web presence in an international network of health research institutions, a study was conducted in 2009, including 190 institutions from 42 countries. The sample was based on WHO (World Health Organization) collaborating centers, and the methodology used webometric analyses and techniques, especially interlinks, and social network analysis. The results showed the presence of five Brazilian institutions, featuring the Oswaldo Cruz Foundation (Fiocruz), showing links to 20 countries and 42 institutions. Through the interface between the health field and the web, the study aims to contribute to future analyses and a plan for strategic repositioning of these institutions in the virtual world, as well as to the elaboration of public policies and recognition of webometrics as an area to be explored and applied to various other fields of knowledge.

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“…Nonetheless, the underlying human motivations for link creation -even within such specific and controlled spaces as research institutions -are complex, and professional, research-oriented and informative issues seem to be the main reasons for link creation among these websites (Wilkinson et al 2003;Bar-Ilan 2005;Seeber et al 2012). This means that hyperlinks and co-authorship data may reflect both different and complementary aspects of institutional relationships.…”

Section: Preprint Of Article Accepted For Publication In Scientometricsmentioning

confidence: 99%

Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

2016

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Orduña Malea, E.; Alonso-Arroyo, A. (2016). Identifying institutional relationships in a geographically distributed public health system using interlinking and coauthorship methods. Scientometrics. 106(3):1167-1191. doi:10.1007/s11192-016-1839-z. Abstract Link 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 coauthored 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. PREPRINT OF ARTICLE ACCEPTED FOR PUBLICATION IN SCIENTOMETRICS

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Factors affecting web links between European higher education institutions

Cited by 26 publications

References 34 publications

Web citations in patents: Evidence of technological impact?

Web citations in patents: Evidence of technological impact?

Health research networks on the web: an analysis of the Brazilian presence

Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

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