Burrell, QL (Burrell, Quentin L.) Extending Lotkaian informetrics INFORMATION PROCESSING & MANAGEMENT, 44 (5): 1794-1807 SEP 2008
Eugene Garfield
garfield at CODEX.CIS.UPENN.EDU
Thu Oct 9 12:03:53 EDT 2008
E-mail Address: q.burrell at ibs.ac.im
Author(s): Burrell, QL (Burrell, Quentin L.)
Title: Extending Lotkaian informetrics
Source: INFORMATION PROCESSING & MANAGEMENT, 44 (5): 1794-1807 SEP 2008
Language: English
Document Type: Article
Author Keywords: Lotkaian informetrics; Pareto type II distribution;
statistical estimation methods; concentration measures
Keywords Plus: SCIENTOMETRIC MEASUREMENT; EGGHES CONSTRUCTION; LORENZ
CURVES; GINI INDEX; LAW; DISTRIBUTIONS; AMBIGUITY
Abstract: The continuous version of the Lotka distribution, more generally
referred to outside of informetrics as the Pareto distribution, has long
enjoyed a central position in the theoretical development of informetrics
despite several reported drawbacks in modelling empirical data
distributions, most particularly that the inverse power form seems mainly
to be evident only in the upper tails. We give a number of published
examples graphically illustrating this shortcoming. In seeking to overcome
this, we here draw attention to an intuitively reasonable generalization
of the Pareto distribution, namely the Pareto type II distribution, of
which we consider two versions. We describe its basic properties and some
statistical features together with concentration aspects and argue that,
at least in qualitative terms, it is better able to describe many observed
informetric phenomena over the full range of the distribution. Suggestions
for further investigations, including truncated and time-dependent
versions, are also given. (c) 2008 Elsevier Ltd. All rights reserved.
Addresses: Nunnery, Isle Man Int Business Sch, Douglas IM2 1QB, Isle Of
Man, England
Reprint Address: Burrell, QL, Nunnery, Isle Man Int Business Sch, Old
Castletown Rd, Douglas IM2 1QB, Isle Of Man, England.
E-mail Address: q.burrell at ibs.ac.im
Cited Reference Count: 60
Times Cited: 0
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publisher Address: THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5
1GB, ENGLAND
ISSN: 0306-4573
DOI: 10.1016/j.ipm.2008.03.002
29-char Source Abbrev.: INFORM PROCESS MANAGE
ISO Source Abbrev.: Inf. Process. Manage.
Source Item Page Count: 14
Subject Category: Computer Science, Information Systems; Information
Science & Library Science
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