IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v51y2000i12p1123-1130.html
   My bibliography  Save this article

Partial orders and measures for language preferences

Author

Listed:
  • Leo Egghe
  • Ronald Rousseau

Abstract

Relative own‐language preference depends on two parameters: the publication share of the language, and the self‐citing rate. Openness of language L with respect to language J depends on three parameters: the publication share of language L, the publication share of language J, and the citation share of language J among all citations given by language L. It is shown that the relative own‐language preference and the openness of one language with respect to another one, can be represented by a partial order. This partial order can be represented by a polygonal line (for the relative own‐language preference) or a three‐dimensional solid (for openness), somewhat in the same spirit as the Lorenz curve for concentration and evenness. Any function used to measure relative own‐language preference or openness of one language with respect to another one should at least respect the corresponding partial orders. This is a minimum requirement for such measures. Depending on the use one wants to make of these measures other requirements become necessary. A logarithmic dependence on the language share(s) seems a natural additional requirement. This would correspond with the logarithmic behavior of psychophysical sensations. We give examples of normalized functions satisfying this additional requirement. It is further investigated if openness partial orders can lead to measures for relative own‐language preference. The article ends with some examples related to the language use in some sociological journals.

Suggested Citation

  • Leo Egghe & Ronald Rousseau, 2000. "Partial orders and measures for language preferences," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(12), pages 1123-1130.
    • Handle: RePEc:bla:jamest:v:51:y:2000:i:12:p:1123-1130
    DOI: 10.1002/1097-4571(2000)9999:99993.0.CO;2-4
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1097-4571(2000)9999:99993.0.CO;2-4
    Download Restriction: no
    File URL: https://libkey.io/10.1002/1097-4571(2000)9999:99993.0.CO;2-4?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
    ---><---

    Citations

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


    Cited by:

    1. Zaida Chinchilla-Rodríguez & Grisel Zacca-González & Benjamín Vargas-Quesada & Félix Moya-Anegón, 2015. "Latin American scientific output in Public Health: combined analysis using bibliometric, socioeconomic and health indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 609-628, January.
    2. Sandra Miguel & Claudia M. González & Zaida Chinchilla-Rodríguez, 2024. "Towards a new approach to analyzing the geographical scope of national research. An exploratory analysis at the country level," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 3659-3679, July.
    3. Zaida Chinchilla-Rodríguez & Sandra Miguel & Félix Moya-Anegón, 2015. "What factors affect the visibility of Argentinean publications in humanities and social sciences in Scopus? Some evidence beyond the geographic realm of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 789-810, January.
    4. Leo Egghe & Ronald Rousseau, 2004. "How to measure own-group preference? A novel approach to a sociometric problem," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 233-252, February.
    5. R. Basurto-Flores & L. Guzmán-Vargas & S. Velasco & A. Medina & A. Calvo Hernandez, 2018. "On entropy research analysis: cross-disciplinary knowledge transfer," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 123-139, October.
    6. Maria Cláudia Cabrini Grácio & Ely Francina Tannuri Oliveira & Zaida Chinchilla-Rodríguez & Henk F. Moed, 2020. "Does corresponding authorship influence scientific impact in collaboration: Brazilian institutions as a case of study," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1349-1369, November.
    7. Ed J. Rinia & Thed N. van Leeuwen & Eppo E. W. Bruins & Hendrik G. van Vuren & Anthony F. J. van Raan, 2002. "Measuring knowledge transfer between fields of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 347-362, July.
    8. Zaida Chinchilla-Rodríguez & Cassidy R Sugimoto & Vincent Larivière, 2019. "Follow the leader: On the relationship between leadership and scholarly impact in international collaborations," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.

    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:bla:jamest:v:51:y:2000:i:12:p:1123-1130. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.