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Linked title mentions: a new automated link search candidate

Author

Listed:
  • Pardeep Sud

    (University of Wolverhampton)

  • Mike Thelwall

    (University of Wolverhampton)

Abstract

Many webometric studies have used hyperlinks to investigate links to or between specific collections of websites to estimate their impact or identify connectivity patterns. Whilst major commercial search engines have previously been used to identify hyperlinks for these purposes, their hyperlink search facilities have now been shut down. In response, a range of alternative sources of link data have been suggested, but all have limitations. This article introduces a new type of link that can be identified from commercial search engines, linked title mentions. These can be found by querying title mentions in a search engine and then removing those not associated with a relevant hyperlink. Results of a proof of concept test on 51 U.S. library and information science schools and four other sets of schools suggest that linked title mentions may tend to give better results than title mentions in some cases when used for site inlinks but may not always be an improvement on URL citations. For links between or co-inlinks to specified pairs of academic websites, linked title mentions do not generally provide an improvement over title mentions, but they do over URL citations in some cases. Linked title mentions may also be useful for sets of non-academic websites when the alternatives give too few or misleading results.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:3:d:10.1007_s11192-014-1374-8
    DOI: 10.1007/s11192-014-1374-8
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    References listed on IDEAS

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    1. Howard D. White & Sebastian K. Boell & Hairong Yu & Mari Davis & Concepción S. Wilson & Fletcher T.H. Cole, 2009. "Libcitations: A measure for comparative assessment of book publications in the humanities and social sciences," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1083-1096, June.
    2. Mike Thelwall, 2008. "Extracting accurate and complete results from search engines: Case study windows live," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 38-50, January.
    3. Liwen Vaughan & Rongbin Yang, 2012. "Web data as academic and business quality estimates: A comparison of three data sources," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(10), pages 1960-1972, October.
    4. Mike Thelwall & Pardeep Sud & David Wilkinson, 2012. "Link and co‐inlink network diagrams with URL citations or title mentions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(4), pages 805-816, April.
    5. Kayvan Kousha & Mike Thelwall, 2006. "Motivations for URL citations to open access library and information science articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 501-517, September.
    6. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    7. Liwen Vaughan & Debora Shaw, 2003. "Bibliographic and Web citations: What is the difference?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(14), pages 1313-1322, December.
    8. Hildrun Kretschmer & Isidro F. Aguillo, 2004. "Visibility of collaboration on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 405-426, November.
    9. Mike Thelwall, 2002. "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, Association for Information Science & Technology, vol. 53(12), pages 995-1005, October.
    10. Isidro F. Aguillo & Judit Bar-Ilan & Mark Levene & José Luis Ortega, 2010. "Comparing university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 243-256, October.
    11. Gaston Heimeriks & Marianne Hörlesberger & Peter Van Den Besselaar, 2003. "Mapping communication and collaboration in heterogeneous research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 391-413, October.
    12. Koen Jonkers & Felix de Moya Anegon & Isidro F. Aguillo, 2012. "Measuring the usage of e‐research infrastructure as an indicator of research activity," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(7), pages 1374-1382, July.
    13. Mike Thelwall & Antje Klitkou & Arnold Verbeek & David Stuart & Celine Vincent, 2010. "Policy-relevant Webometrics for individual scientific fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1464-1475, July.
    14. David Stuart & Mike Thelwall, 2006. "Investigating triple helix relationships using URL citations: a case study of the UK West Midlands automobile industry," Research Evaluation, Oxford University Press, vol. 15(2), pages 97-106, August.
    15. Liwen Vaughan & Justin You, 2006. "Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 611-628, September.
    16. Judit Bar‐Ilan & Bluma C. Peritz, 2009. "A method for measuring the evolution of a topic on the Web: The case of “informetrics”," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(9), pages 1730-1740, September.
    17. 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.
    18. Mike Thelwall, 2006. "Interpreting social science link analysis research: A theoretical framework," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 60-68, January.
    19. Lepori, Benedetto & Barberio, Vitaliano & Seeber, Marco & Aguillo, Isidro, 2013. "Core–periphery structures in national higher education systems. A cross-country analysis using interlinking data," Journal of Informetrics, Elsevier, vol. 7(3), pages 622-634.
    20. Xuemei Li & Mike Thelwall & Peter Musgrove & David Wilkinson, 2003. "The relationship between the WIFs or inlinks of Computer Science Departments in UK and their RAE ratings or research productivities in 2001," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 239-255, June.
    21. Mike Thelwall & Gareth Harries, 2004. "Do the Web sites of higher rated scholars have significantly more online impact?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 149-159, January.
    22. Esteban Romero-Frías & Liwen Vaughan, 2010. "European political trends viewed through patterns of Web linking," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2109-2121, October.
    23. Liwen Vaughan & Rongbin Yang, 2012. "Web data as academic and business quality estimates: A comparison of three data sources," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 1960-1972, October.
    24. Thelwall, Mike & Sud, Pardeep, 2012. "Webometric research with the Bing Search API 2.0," Journal of Informetrics, Elsevier, vol. 6(1), pages 44-52.
    25. Isidro F. Aguillo & Begoña Granadino & José L. Ortega & José A. Prieto, 2006. "Scientific research activity and communication measured with cybermetrics indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1296-1302, August.
    26. Esteban Romero‐Frías & Liwen Vaughan, 2010. "European political trends viewed through patterns of Web linking," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2109-2121, October.
    27. Mike Thelwall & Pardeep Sud, 2011. "A comparison of methods for collecting web citation data for academic organizations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(8), pages 1488-1497, August.
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