Abstract
Universities’ online seats have gradually become complex systems of dynamic information where all their institutions and services are linked and potentially accessible. These online seats now constitute a central node around which universities construct and document their main activities and services. This information can be quantitative measured by cybermetric techniques in order to design university web rankings, taking the university as a global reference unit. However, previous research into web subunits shows that it is possible to carry out systemic web analyses, which open up the possibility of carrying out studies which address university diversity, necessary for both describing the university in greater detail and for establishing comparable ranking units. To address this issue, a multilevel university cybermetric analysis model is proposed, based on parts (core and satellite), levels (institutional and external) and sublevels (contour and internal), providing a deeper analysis of institutions. Finally the model is integrated into another which is independent of the technique used, and applied by analysing Harvard University as an example of use.
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Notes
These products are not selected according to any criteria of quality or relevance, the selection is merely illustrative.
The Research Results Transfer Offices (OTRI) are aimed to boost relations between the university scientific community, business and other socio-economic actors to take advantage of R&D capabilities and results of research activity in universities.
http://www.youtube.com/user/StanfordUniversity (accessed 1 April 2012).
http://vimeo.com/cambridge (accessed 1 April 2012).
http://www.flickr.com/groups/harvard (accessed 1 April 2012).
http://www.slideshare.net/norwichuniversity (accessed 1 April 2012).
http://www.facebook.com/columbia (accessed 1 April 2012).
http://mit.academia.edu (accessed 1 April 2012).
http://www.usal.es/~oca (accessed 1 April 2012).
Currently the website is not accessible, and cannot be located the reference year.
http://www.webometrics.info (accessed 1 April 2012).
http://www.4icu.org/top200 (accessed 1 April 2012).
http://www.universidad.edu.co (accessed 3 December 2008).
http://vcmike.blogspot.com/2006/01/ranking-colleges-using-google-and-oss.html (accessed 1 April 2012).
http://www.universitymetrics.com/g-factor (discontinued; accessed 1 April 2012).
http://googlecollegerankings.com (accessed 1 April 2012).
http://www.um.es/gtiweb/adrico/#Datos (accessed 1 April 2012).
http://en.wikipedia.org/wiki/Generic_top-level_domain (accessed 1 April 2012).
http://en.wikipedia.org/wiki/Country_code_top-level_domain (accessed 1 April 2012).
http://www.ietf.org/rfc/rfc3986.txt (accessed 1 April 2012).
Complutense University of Madrid is considered only as example.
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Orduña-Malea, E., Ontalba-Ruipérez, JA. Proposal for a multilevel university cybermetric analysis model. Scientometrics 95, 863–884 (2013). https://doi.org/10.1007/s11192-012-0868-5
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DOI: https://doi.org/10.1007/s11192-012-0868-5