An empirical study of the measurement of similarity of concentration between different informetric distributions

Proceedings of ISSI 2005: 10th International Conference of the International Society for Scientometrics and Informetrics

Volumn 1, Issue , 2005, Pages 129-139

  Burrell, Quentin L ^a  

^a Isle of Man International Business School   (United Kingdom)

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[No Author keywords available]

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EID: 33746392136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Arnold, B. C. (1987). Majorization and the Lorenz order. Lecture Notes in Statistics, 43. Berlin & New York: Springer.
2. Bradford, S. C. (1934). Sources of information on specific subjects. Engineering, 137, 85-86.
3. Burrell, Q. L. (1985) The 80/20 rule: library lore or statistical law? Journal of Documentation, 41, 24-39.
4. Burrell, Q. L. (1991). The Bradford distribution and the Gini index. Scientometrics, 21, 181-194.
5. Burrell, Q. L. (1992a). A note on a result of Rousseau for concentration measures. Journal of the American Society for Information Science, 43, 452-454.
6. Burrell, Q. L. (1992b). The dynamic nature of bibliometric processes: a case study. In I. K. Ravichandra Rao (Ed.), Informetrics - 91: selected papers from the Third International Conference on Informetrics (pp. 97-129), Bangalore: Ranganathan Endowment.
7. Burrell, Q. L. (1992c). The Gini index and the Leimkuhler curve for bibliometric processes. Information Processing and Management, 28, 19-33.
8. Burrell, Q. L. (2005a). Measuring similarity of concentration between different informetric distributions: Two new approaches. Journal of the American Society for Information Science and Technology, 56, 704-714.
9. Burrell, Q. L. (2005b). Measuring relative equality of concentration between different income/wealth distributions. International Conference in memory of two Social Scientists: C. Gini and M. O. Lorenz. University of Siena, 23-26 May, 2005.
10. Burrell, Q. L. (2005c). Symmetry and other transformation features of Lorenz/Leimkuhler representations of informetric data. Information Processing and Management. (To appear.)
11. Dagum, C. (1983). Income inequality measures. In S. Kotz & N. S. Johnson (Eds.), Encyclopaedia of Statistical Sciences, Volume 4 (pp. 34-40), New York: Wiley.
12. Dagum, C. (1987). Measuring the economic affluence between populations of income receivers. Journal of Business and Economic Statistics, 5, 5-11.
13. Dalton, H. (1920). The measurement of inequality of incomes. Economic Journal, 30, 348-361.
14. Dorfman, R. (1979). A formula for the Gini coefficient. Review of Economics and Statistics, 61, 146-149.
15. Egghe, L. (1990). Applications of the theory of Bradford's law to the calculation of Leimkuhler's law and to the completion of bibliographies. Journal of the American Society for Information Science, 41, 469-492.
16. Fellman, J. (1976). The effect of transformations on Lorenz curves. Econometrica, 44, 823-824.
17. Kleiber, C. & Kotz, S. (2003). Statistical size distributions in economics and actuarial sciences. New Jersey: Wiley.
18. Lambert, P. J. (2001). The distribution and redistribution of income. 3rd edition. Manchester: Manchester University Press.
19. Rousseau, R. (1992). Concentration and diversity of availability and use in information systems. Journal of the American Society for Information Science, 43, 391-395.
20. Trueswell, R. W. (1969). Some behavioral patterns of library users: the 80/20 rule. Wilson library bulletin, 43, 458-461.
21. Yitzhaki, S. (1998). More than a dozen alternative ways of spelling Gini. Research on Income Inequality, 8, 13-30.