Document (#28412)

Author
Burrell, Q.L.
Title
Measuring similarity of concentration between different informetric distributions : two new approaches
Source
Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.704-714
Year
2005
Abstract
From its earliest days, much investigative work in informetrics has been concerned with inequality aspects. Beginning with the weIl-known Gin! coefficient as a measure of the concentration/inequality of productivity within a single data set, in this study we look at the problem of measuring relative inequallty of productivity between two data sets. A measure originally proposed by Dagum (1987), analogous to the Gin! coefficient, is discussed and developed with both theoretical and empir!cal illustrations. From this we derive a standardized measure-the relative concentration coefficient-based an the notion of "relative economic affluence" also introduced by Dagum (1987). Finally, a new standardized measure-the co-concentration coefficient, in some ways analogous to the correlation coefficient-is defined. The merits and drawbacks of these two measures are discussed and illustrated. Their value will be most readily appreclated in comparative empirical studies.
Theme
Informetrie

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