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How to measure own-group preference? A novel approach to a sociometric problem

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Listed:
  • Leo Egghe

    (Limburgs Universitair Centrum (LUC), Universitaire Campus)

  • Ronald Rousseau

    (UA, IBW Wilrijk ()

Abstract

In this article we present a precise definition of the notion "own-group preference" and characterize all functions capable of correctly measuring it. Examples of such functions are provided. The weighted Lorenz curve and the theory developed for it will be our main tools for reaching this goal. We further correct our earlier articles on this subject. In the context of own-language preference, Bookstein and Yitzhaki proposed the logarithm of the odds-ratio as an acceptable measure of own-group preference. We now present a general framework within which the concept of own-group preference, and its opposite, namely own-group aversion, can be precisely pinpointed. This framework is derived form inequality theory and is based on the use of the weighted Lorenz curve. The concept of own-group preference is an interesting notion with applications in different fields such as sociology, political sciences, economics, management science and of course, the information sciences. Some examples are provided.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:59:y:2004:i:2:d:10.1023_b:scie.0000018531.24886.00
    DOI: 10.1023/B:SCIE.0000018531.24886.00
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    References listed on IDEAS

    as
    1. Leo Egghe & Ronald Rousseau, 2001. "Symmetric and Asymmetric Theory of Relative Concentration and Applications," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 261-290, October.
    2. 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.
    3. L. Egghe & R. Rousseau & M. Yitzhaki, 1999. "The “own-language preference”: Measures of relative language self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(2), pages 217-232, June.
    4. Alexander I. Pudovkin & Eugene Garfield, 2002. "Algorithmic procedure for finding semantically related journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(13), pages 1113-1119, November.
    5. Shengli Ren & Ronald Rousseau, 2002. "International visibility of Chinese scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 389-405, March.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. C. A. Macías-Chapula, 2010. "Influence of local and regional publications in the production of public health research papers in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 703-716, September.
    2. Wang, Guoyan & Hu, Guangyuan & Li, Chuanfeng & Tang, Li, 2018. "Long live the scientists: Tracking the scientific fame of great minds in physics," Journal of Informetrics, Elsevier, vol. 12(4), pages 1089-1098.
    3. Liming Liang & Ronald Rousseau & Zhen Zhong, 2013. "Non-English journals and papers in physics and chemistry: bias in citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 333-350, April.

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