IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/9401.html
   My bibliography  Save this paper

Some Comments on the Question Whether Co-occurrence Data Should Be Normalized

Author

Listed:
  • Waltman, L.
  • van Eck, N.J.P.

Abstract

In a recent paper in the Journal of the American Society for Information Science and Technology, Leydesdorff and Vaughan assert that raw cocitation data should be analyzed directly, without first applying a normalization like the Pearson correlation. In this report, it is argued that there is nothing wrong with the widely adopted practice of normalizing cocitation data. One of the arguments put forward by Leydesdorff and Vaughan turns out to depend crucially on incorrect multidimensional scaling maps that are due to an error in the PROXSCAL program in SPSS.

Suggested Citation

  • Waltman, L. & van Eck, N.J.P., 2007. "Some Comments on the Question Whether Co-occurrence Data Should Be Normalized," ERIM Report Series Research in Management ERS-2007-017-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.
    • Handle: RePEc:ems:eureri:9401
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/9401/ERS-2007-017-LIS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ludo Waltman & Nees Jan van Eck, 2007. "Some comments on the question whether co‐occurrence data should be normalized," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(11), pages 1701-1703, September.
    2. Per Ahlgren & Bo Jarneving & Ronald Rousseau, 2003. "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 550-560, April.
    3. 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.
    4. 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.
    5. Pau, L-F. & Motiwalla, J., 2007. "India: a Case of Fragile Wireless Service and Technology Adoption?," ERIM Report Series Research in Management ERS-2007-011-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.
    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. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-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.
    2. van Eck, N.J.P. & Waltman, L., 2007. "Appropriate Similarity Measures for Author Cocitation Analysis," ERIM Report Series Research in Management ERS-2007-091-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.
    3. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    4. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.
    5. 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.
    6. Eom, Sean, 2008. "All author cocitation analysis and first author cocitation analysis: A comparative empirical investigation," Journal of Informetrics, Elsevier, vol. 2(1), pages 53-64.

    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. 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.
    2. van Eck, N.J.P. & Waltman, L., 2007. "Appropriate Similarity Measures for Author Cocitation Analysis," ERIM Report Series Research in Management ERS-2007-091-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.
    3. Jesper W. Schneider & Birger Larsen & Peter Ingwersen, 2009. "A comparative study of first and all-author co-citation counting, and two different matrix generation approaches applied for author co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 103-130, July.
    4. 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.
    5. 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.
    6. Chaoqun Ni & Cassidy R. Sugimoto & Jiepu Jiang, 2013. "Venue-author-coupling: A measure for identifying disciplines through author communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 265-279, February.
    7. Leydesdorff, Loet & Wagner, Caroline S., 2008. "International collaboration in science and the formation of a core group," Journal of Informetrics, Elsevier, vol. 2(4), pages 317-325.
    8. 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.
    9. 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.
    10. Ruimin Ma & Qiangbin Dai & Chaoqun Ni & Xuelu Li, 2009. "An author co-citation analysis of information science in China with Chinese Google Scholar search engine, 2004–2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 33-46, October.
    11. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    12. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    13. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    14. Bo Jarneving, 2008. "A variation of the calculation of the first author cocitation strength in author cocitation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 485-504, December.
    15. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    16. Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.
    17. Waltman, L. & van Eck, N.J.P., 2008. "Some Comments on the Question Whether Co-Occurrence Data Should Be Normalized," ERIM Report Series Research in Management ERS-2008-014-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.
    18. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.
    19. Eom, Sean, 2008. "All author cocitation analysis and first author cocitation analysis: A comparative empirical investigation," Journal of Informetrics, Elsevier, vol. 2(1), pages 53-64.
    20. Yi Bu & Binglu Wang & Win-bin Huang & Shangkun Che & Yong Huang, 2018. "Using the appearance of citations in full text on author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 275-289, July.

    More about this item

    Keywords

    Author cocitation analysis; Co-occurrence data; Multidimensional scaling; Normalization; PROXSCAL; Pearson correlation;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    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:ems:eureri:9401. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    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.