IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v95y2013i2d10.1007_s11192-012-0851-1.html
   My bibliography  Save this article

Selective linking from social platforms to university websites: a case study of the Spanish academic system

Author

Listed:
  • Enrique Orduña-Malea

    (Polytechnic University of Valencia (UPV))

  • José-Antonio Ontalba-Ruipérez

    (Polytechnic University of Valencia (UPV))

Abstract

Mention indicators have frequently been used in Webometric studies because they provide a powerful tool for determining the degree of visibility and impact of web resources. Among mention indicators, hypertextual links were a central part of many studies until Yahoo! discontinued the ‘linkdomain’ command in 2011. Selective links constitute a variant of external links where both the source and target of the link can be selected. This paper intends to study the influence of social platforms (measured through the number of selective external links) on academic environments, in order to ascertain both the percentage that they constitute and whether some of them can be used as substitutes of total external links. For this purpose, 141 URLs belonging to 76 Spanish universities were compiled in 2010 (before Yahoo! stopped their link services), and the number of links from 13 selected social platforms to these universities were calculated. Results confirm a good correlation between total external links and links that come from social platforms, with the exception of some applications (such as Digg and Technorati). For those universities with a higher number of total external links, the high correlation is only maintained on Delicious and Wikipedia, which can be utilized as substitutes of total external links in the context analyzed. Notwithstanding, the global percentage of links from social platforms constitute only a small fraction of total links, although a positive trend is detected, especially in services such as Twitter, Youtube, and Facebook.

Suggested Citation

  • Enrique Orduña-Malea & José-Antonio Ontalba-Ruipérez, 2013. "Selective linking from social platforms to university websites: a case study of the Spanish academic system," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 593-614, May.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:2:d:10.1007_s11192-012-0851-1
    DOI: 10.1007/s11192-012-0851-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-012-0851-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-012-0851-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Blaise Cronin & Herbert W. Snyder & Howard Rosenbaum & Anna Martinson & Ewa Callahan, 1998. "Invoked on the Web," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(14), pages 1319-1328.
    2. Lisa Baron & Jean Tague‐Sutcliffe & Mark T. Kinnucan & Tom Carey, 1996. "Labeled, typed links as cues when reading hypertext documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(12), pages 896-908, December.
    3. Hak Joon Kim, 2000. "Motivations for hyperlinking in scholarly electronic articles: A qualitative study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(10), pages 887-899.
    4. Mike Thelwall, 2001. "Extracting macroscopic information from Web links," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(13), pages 1157-1168.
    5. Seeber, Marco & Lepori, Benedetto & Lomi, Alessandro & Aguillo, Isidro & Barberio, Vitaliano, 2012. "Factors affecting web links between European higher education institutions," Journal of Informetrics, Elsevier, vol. 6(3), pages 435-447.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2015. "Clustering research group website homepages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2023-2039, March.
    2. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    3. Liwen Vaughan & Margaret E. I. Kipp & Yijun Gao, 2007. "Why are Websites co-linked? The case of Canadian universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 81-92, July.
    4. Dangzhi Zhao & Elisabeth Logan, 2002. "Citation analysis using scientific publications on the Web as data source: A case study in the XML research area," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 449-472, July.
    5. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    6. Isidro F. Aguillo, 2020. "Altmetrics of the Open Access Institutional Repositories: a webometrics approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1181-1192, June.
    7. Judit Bar-Ilan, 2004. "A microscopic link analysis of academic institutions within a country — the case of Israel," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 391-403, March.
    8. Judit Bar-Ilan, 2001. "Data collection methods on the Web for infometric purposes — A review and analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 7-32, January.
    9. Mike Thelwall, 2012. "Journal impact evaluation: a webometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 429-441, August.
    10. Fairclough, Ruth & Thelwall, Mike, 2015. "National research impact indicators from Mendeley readers," Journal of Informetrics, Elsevier, vol. 9(4), pages 845-859.
    11. Xu, Fang & Ou, Guiyan & Ma, Tingcan & Wang, Xianwen, 2021. "The consistency of impact of preprints and their journal publications," Journal of Informetrics, Elsevier, vol. 15(2).
    12. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2014. "Automatic classification of academic web page types," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1015-1026, November.
    13. Kayvan Kousha & Mike Thelwall, 2008. "Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 273-294, February.
    14. Lepori, B. & Seeber, M. & Bonaccorsi, A., 2015. "Competition for talent. Country and organizational-level effects in the internationalization of European higher education institutions," Research Policy, Elsevier, vol. 44(3), pages 789-802.
    15. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    16. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    17. Benedetto Lepori & Isidro F. Aguillo & Marco Seeber, 2014. "Size of web domains and interlinking behavior of higher education institutions in Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 497-518, August.
    18. Pardeep Sud & Mike Thelwall, 2014. "Linked title mentions: a new automated link search candidate," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1831-1849, December.
    19. Francois Schalkwyk & Jonathan Dudek & Rodrigo Costas, 2020. "Communities of shared interests and cognitive bridges: the case of the anti-vaccination movement on Twitter," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1499-1516, November.
    20. Font-Julián, Cristina I & Ontalba-Ruipérez, José-Antonio & Orduña-Malea, Enrique & Thelwall, Mike, 2022. "Which types of online resource support US patent claims?," Journal of Informetrics, Elsevier, vol. 16(1).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:95:y:2013:i:2:d:10.1007_s11192-012-0851-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.