Skip to main content
Log in

Proposal for a multilevel university cybermetric analysis model

  • Published:
Scientometrics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. These products are not selected according to any criteria of quality or relevance, the selection is merely illustrative.

  2. 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.

  3. http://www.youtube.com/user/StanfordUniversity (accessed 1 April 2012).

  4. http://vimeo.com/cambridge (accessed 1 April 2012).

  5. http://www.flickr.com/groups/harvard (accessed 1 April 2012).

  6. http://www.slideshare.net/norwichuniversity (accessed 1 April 2012).

  7. http://www.facebook.com/columbia (accessed 1 April 2012).

  8. http://mit.academia.edu (accessed 1 April 2012).

  9. http://www.usal.es/~oca (accessed 1 April 2012).

  10. Currently the website is not accessible, and cannot be located the reference year.

  11. http://www.webometrics.info (accessed 1 April 2012).

  12. http://www.4icu.org/top200 (accessed 1 April 2012).

  13. http://www.universidad.edu.co (accessed 3 December 2008).

  14. http://vcmike.blogspot.com/2006/01/ranking-colleges-using-google-and-oss.html (accessed 1 April 2012).

  15. http://www.universitymetrics.com/g-factor (discontinued; accessed 1 April 2012).

  16. http://googlecollegerankings.com (accessed 1 April 2012).

  17. http://www.um.es/gtiweb/adrico/#Datos (accessed 1 April 2012).

  18. http://en.wikipedia.org/wiki/Generic_top-level_domain (accessed 1 April 2012).

  19. http://en.wikipedia.org/wiki/Country_code_top-level_domain (accessed 1 April 2012).

  20. http://www.ietf.org/rfc/rfc3986.txt (accessed 1 April 2012).

  21. Complutense University of Madrid is considered only as example.

References

  • Acosta Márquez, T., Igartua Perosanz, J.J. & Gómez Isla, J. (2009). Páginas web de las universidades españolas. Enred: revista digital de la Universidad de Salamanca, 5 [online; discontinued].

  • Aguillo, I. F. (1998). Hacia un concepto documental de sede web. El Profesional de la Información, 7(1–2), 45–46.

    Google Scholar 

  • Aguillo, I. F. (2009). Measuring the institutions’ footprint in the web. Library Hi Tech, 27(4), 540–556.

    Article  Google Scholar 

  • Aguillo, I. F., Granadino, B., Ortega, J. L., & Prieto, J. A. (2006). Scientific research activity and communication measured with cybermetrics indicators. Journal of the American Society for Information Science and Technology, 57(10), 1296–1302.

    Article  Google Scholar 

  • Aguillo, I. F., Ortega, J. L., & Fernández, M. (2008). Webometric Ranking of World Universities: introduction, methodology, and future developments. Higher Education in Europe, 33(2/3), 234–244.

    Google Scholar 

  • Ayan, N., Li, W.-S., & Kolak, O. (2002). Automatic extraction of logical domains in a web site. Data & Knowledge Engineering, 43(2), 179–205.

    Article  MATH  Google Scholar 

  • Barjak, F., Li, X., & Thelwall, M. (2007). Which factors explain the Web impact of scientists’ personal homepages? Journal of the American Society for Information Science and Technology, 58(2), 200–211.

    Article  Google Scholar 

  • Berners-Lee, T., & Fischetti, M. (2000). Tejiendo la Red. Madrid: Siglo XXI.

    Google Scholar 

  • Björneborn, L., & Ingwersen, P. (2004). Toward a basic framework for webometrics. Journal of the American Society for Information Science and Technology, 55(14), 1216–1227.

    Article  Google Scholar 

  • Buenadicha, M., Chamorro, A., Miranda, F. J., & González, O. R. (2001). A new web assessment index: Spanish Universities Analysis. Internet Research, 11(3), 226–234.

    Article  Google Scholar 

  • Castells, M. (2001). La galaxia Internet. Barcelona: Plaza y Janés.

    Google Scholar 

  • Chu, H., He, S., & Thelwall, M. (2002). Library and Information Science Schools in Canada and USA: a Webometric perspective. Journal of Education for Library and Information Science, 43(2), 110–125.

    Article  Google Scholar 

  • Crowston, K., & Williams, M. (2000). Reproduced and Emergent Genres of Communication on the World Wide Web. The Information Society: an International Journal, 16(3), 201–215.

    Article  Google Scholar 

  • Goldfarb, A. (2006). The (teaching) role of universities in the diffusion of the Internet. International Journal of Industrial Organization, 24(2), 203–225.

    Article  Google Scholar 

  • Ingwersen, P. (1998). The calculation of web impact factors. Journal of Documentation, 54(2), 236–243.

    Article  Google Scholar 

  • Katz, R. N. (2008a). The tower and the cloud: Higher education in the age of cloud computing. USA: Educause.

    Google Scholar 

  • Katz, R. N. (2008b). The gathering cloud: is this the end of the middle. In R. N. Katz (Ed.), The tower and the cloud: Higher education in the age of cloud computing (p. 2008). USA: Educause.

    Google Scholar 

  • Li, X. (2005). National and international university departmental Web site interlinking: a webometric analysis. [Unpublished doctoral dissertation]. Wolverhampton, UK: University of Wolverhampton.

  • Li, X., Thelwall, M., Musgrove, P., & Wilkinson, D. (2003). The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001. Scientometrics, 57(2), 239–255.

    Article  Google Scholar 

  • Middleton, I., McConnell, M., & Davidson, G. (1999). Presenting a model for the structure and content of a University World Wide Web site. Journal of Information Science, 25(3), 217–219.

    Article  Google Scholar 

  • Orduña-Malea, E. (2012). Propuesta de un modelo de análisis redinformétrico multinivel para el estudio sistémico de las universidades españolas (2010). Valencia: Polytechnic University of Valencia.

    Google Scholar 

  • Ortega, J. L., & Aguillo, Isidro. F. (2007). La web académica española en el contexto del Espacio Europeo de Educación Superior: estudio exploratorio. El profesional de la información, 16(5), 417–425.

    Article  Google Scholar 

  • Pareja, V. M., Ortega, J. L., Prieto, J. A., Arroyo, N., & Aguillo, I. F. (2005). Desarrollo y aplicación del concepto de sede web como unidad documental de análisis en Cibermetría. Jornadas Españolas de Documentación, 9, 325–340.

    Google Scholar 

  • Saorín, T. (2012). Arquitectura de la dispersión: gestionar los riesgos cíclicos de fragmentación de las webs corporativas. Anuario ThinkEPI, 6, 281–287.

    Google Scholar 

  • Tang, R., & Thelwall, M. (2003). U.S. academic departmental Web-site interlinking: disciplinary differences. Library & Information Science Research, 25(4), 437–458.

    Article  Google Scholar 

  • Tang, R., & Thelwall, M. (2004). Patterns of national and international web inlinks to US academic departments: an analysis of disciplinary variations. Scientometrics, 60(3), 475–485.

    Article  Google Scholar 

  • Thelwall, M. (2002a). A research and institutional size based model for national university Web site interlinking. Journal of Documentation, 58(6), 683–694.

    Article  Google Scholar 

  • Thelwall, M. (2002b). Conceptualizing documentation on the Web: an evaluation of different heuristic-based models for counting links between university web sites. Journal of the American Society for Information Science and Technology, 53(12), 995–1005.

    Article  Google Scholar 

  • Thelwall, M. (2003). Web use and peer interconnectivity metrics for academic Web sites. Journal of Information Science, 29(1), 11–20.

    Article  Google Scholar 

  • Thelwall, M. (2009). Introduction to Webometrics: quantitative web research for the social sciences. San Rafael: Morgan & Claypool.

    Google Scholar 

  • Thelwall, M., & Harries, G. (2004a). Can personal Web pages that link to universities yield information about the wider dissemination of research? Journal of Information Science, 30(3), 243–256.

    Article  Google Scholar 

  • Thelwall, M., & Harries, G. (2004b). Do better scholars’ Web publications have significantly higher online impact? Journal of American Society for Information Science and Technology, 55(2), 149–159.

    Article  Google Scholar 

  • Thelwall, M., Vaughan, L., & Björneborn, L. (2005). Webometrics. Annual Review of Information Science and Technology, 39, 81–135.

    Article  Google Scholar 

  • Thomas, O., & Willet, P. (2000). Webometric analysis of Departments of librarianship and information science. Journal of Information Science, 26(6), 421–428.

    Article  Google Scholar 

  • Tíscar, L. (2009). El papel de la universidad en la construcción de su identidad digital. Revista de universidad y sociedad del conocimiento, 6(1), 15–21.

    Google Scholar 

  • Van Vught, F. A. (2009). Diversity and differentiation in higher education. In F. Van Vught (Ed.), Mapping the higher education landscape: toward a European classification of higher education (pp. 1–16). The Netherlands: Springer.

    Chapter  Google Scholar 

  • Yolku, O. (2001). Use of news articles and announcements on official websites of universities. Turkish Online Journal of Educational Technology, 10(2), 287–296.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Enrique Orduña-Malea.

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-012-0868-5

Keywords

Navigation