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Visibility of collaboration on the Web

Author

Listed:
  • Hildrun Kretschmer

    (NIWI, The Royal Netherlands Academy of Arts and Sciences)

  • Isidro F. Aguillo

    (CINDOC)

Abstract

The emerging influence of new information and communication technologies (ICT) on collaboration in science and technology has to be considered. In particular, the question of the extent to which collaboration in science and in technology is visible on the Web needs examining. Thus the purpose of this study is to examine whether broadly similar results would occur if solely Web data was used rather than all available bibliometric co-authorship data. For this purpose a new approach of Web visibility indicators of collaboration is examined. The ensemble of COLLNET members is used to compare co-authorship patterns in traditional bibliometric databases and the network visible on the Web. One of the general empirical results is a high percentage (78%) of all bibliographic multi- authored publications become visible through search of engines in the Web. One of the special studies has shown Web visibility of collaboration is dependent on the type of bibliographic multi-authored papers. The social network analysis (SNA) is applied to comparisons between bibliographic and Web collaboration networks. Structure formation processes in bibliographic and Web networks are studied. The research question posed is to which extent collaboration structures visible in the Web change their shape in the same way as bibliographic collaboration networks over time. A number of special types of changes in bibliographic and Web structures are explained.

Suggested Citation

  • Hildrun Kretschmer & Isidro F. Aguillo, 2004. "Visibility of collaboration on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 405-426, November.
  • Handle: RePEc:spr:scient:v:61:y:2004:i:3:d:10.1023_b:scie.0000045118.68430.fd
    DOI: 10.1023/B:SCIE.0000045118.68430.fd
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    References listed on IDEAS

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    4. Yufang Peng & Jin Shi & Marcelo Fantinato & Jing Chen, 2017. "A study on the author collaboration network in big data," Information Systems Frontiers, Springer, vol. 19(6), pages 1329-1342, December.
    5. Huang Wei & Chen Yong, 2012. "SNA of educational economics cooperation network in China: a scinetometrics study from 1980 to 2009," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 3(1), pages 48-62.
    6. Han Park & Mike Thelwall, 2008. "Link analysis: Hyperlink patterns and social structure on politicians’ Web sites in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 687-697, October.
    7. 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.
    8. 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.
    9. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.

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