IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v74y2008i2d10.1007_s11192-008-0218-9.html
   My bibliography  Save this article

Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators

Author

Listed:
  • Jose Luis Ortega

    (CINDOC-CSIC)

  • Isidro Aguillo

    (CINDOC-CSIC)

  • Viv Cothey

    (University of Wolverhampton)

  • Andrea Scharnhorst

    (Royal Netherlands Academy of Arts and Sciences)

Abstract

This paper shows maps of the web presence of the European Higher Education Area (EHEA) on the level of universities using hyperlinks and analyses the topology of the European academic network. Its purpose is to combine methods from Social Network Analysis (SNA) and cybermetric techniques in order to ask for tendencies of integration of the European universities visible in their web presence and the role of different universities in the process of the emergence of an European Research Area. We find as a main result that the European network is set up by the aggregation of well-defined national networks, whereby the German and British networks are dominant. The national networks are connected to each other through outstanding national universities in each country.

Suggested Citation

  • Jose Luis Ortega & Isidro Aguillo & Viv Cothey & Andrea Scharnhorst, 2008. "Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 295-308, February.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:2:d:10.1007_s11192-008-0218-9
    DOI: 10.1007/s11192-008-0218-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-008-0218-9
    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/s11192-008-0218-9?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. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. 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.
    3. J Sylvan Katz & Viv Cothey, 2006. "Web indicators for complex innovation systems," Research Evaluation, Oxford University Press, vol. 15(2), pages 85-95, August.
    4. Mike Thelwall & Rong Tang & Liz Price, 2003. "Linguistic patterns of academic Web use in Western Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 417-432, March.
    5. Henry Small, 2003. "Paradigms, citations, and maps of science: A personal history," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 394-399, March.
    6. Loet Leydesdorff & Liwen Vaughan, 2006. "Co‐occurrence matrices and their applications in information science: Extending ACA to the Web environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1616-1628, October.
    7. Liwen Vaughan, 2006. "Visualizing linguistic and cultural differences using Web co‐link data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1178-1193, July.
    8. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    9. Katz, J. Sylvan, 2006. "Indicators for complex innovation systems," Research Policy, Elsevier, vol. 35(7), pages 893-909, September.
    10. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    11. Mike Thelwall & David Wilkinson, 2003. "Graph structure in three national academic Webs: Power laws with anomalies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(8), pages 706-712, June.
    12. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liwen Vaughan & Esteban Romero-Frías, 2012. "Exploring Web keyword analysis as an alternative to link analysis: a multi-industry case," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 217-232, October.
    2. José Luis Ortega & Viv Cothey & Isidro F. Aguillo, 2009. "How old is the Web? Characterizing the age and the currency of the European scientific Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 295-309, October.
    3. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.
    4. Amalia Mas-Bleda & Mike Thelwall & Kayvan Kousha & Isidro F. Aguillo, 2014. "Do highly cited researchers successfully use the social web?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 337-356, October.
    5. María Pinto & David Guerrero Quesada & Ximo Granell, 2014. "Dissemination of information and visibility of the European Higher Education Area through the websites of Spanish universities: a longitudinal metric analysis, 2007–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1235-1255, February.
    6. 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.
    7. Moosung Lee & Han Woo Park, 2012. "Exploring the web visibility of world-class universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 201-218, January.
    8. Mike Thelwall & Alesia Zuccala, 2008. "A university-centred European Union link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 407-420, June.

    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. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. 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.
    3. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. 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.
    5. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    6. J. Sylvan Katz & Guillermo Armando Ronda-Pupo, 2019. "Cooperation, scale-invariance and complex innovation systems: a generalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1045-1065, November.
    7. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    8. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    9. Andjelković, Miroslav & Tadić, Bosiljka & Maletić, Slobodan & Rajković, Milan, 2015. "Hierarchical sequencing of online social graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 582-595.
    10. Zhao, Dangzhi & Strotmann, Andreas, 2008. "Comparing all-author and first-author co-citation analyses of information science," Journal of Informetrics, Elsevier, vol. 2(3), pages 229-239.
    11. Mike Thelwall & Alesia Zuccala, 2008. "A university-centred European Union link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 407-420, June.
    12. Koseoglu, Mehmet Ali & Rahimi, Roya & Okumus, Fevzi & Liu, Jingyan, 2016. "Bibliometric studies in tourism," Annals of Tourism Research, Elsevier, vol. 61(C), pages 180-198.
    13. Ruimin Ma, 2012. "Discovering and analyzing the intellectual structure and its evolution of LIS in China, 1998–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 645-659, December.
    14. Maria Glinyanova & Ricarda B. Bouncken & Victor Tiberius & Antonio C. Cuenca Ballester, 2021. "Five decades of corporate entrepreneurship research: measuring and mapping the field," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1731-1757, December.
    15. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    16. Jean A. Pratt & Karina Hauser & Cassidy R. Sugimoto, 2012. "Defining the intellectual structure of information systems and related college of business disciplines: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 279-304, November.
    17. Junping Qiu & Yejun Li & Jiang Li & Quane Ren, 2008. "An exploratory study on substantive co-link analysis: A modification to total co-link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 327-341, August.
    18. Gao, Xia & Guan, Jiancheng, 2009. "A scale-independent analysis of the performance of the Chinese innovation system," Journal of Informetrics, Elsevier, vol. 3(4), pages 321-331.
    19. Wen-Lung Shiau & Yogesh K. Dwivedi & Chia-Han Tsai, 2015. "Supply chain management: exploring the intellectual structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 215-230, October.
    20. Lijun Yang & Liangxiu Han & Naxin Liu, 2019. "A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 507-517, August.

    More about this item

    Statistics

    Access and download statistics

    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:74:y:2008:i:2:d:10.1007_s11192-008-0218-9. 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.