The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the “Tournaments” Metaphor in Citation Impact Studies
Loet Leydesdorff1; Wouter de Nooy1; Lutz Bornmann2; Loet Leydesdorff (E-mail: loet@leydesdorff.net).
2016-09-18
发表期刊Journal of Data and Information Science
卷号1期号:3页码:6-26
其他摘要
Purpose: Ramanujacharyulu developed the Power-weakness Ratio (PWR) for scoring tournaments. The PWR algorithm has been advocated (and used) for measuring the impact of journals. We show how such a newly proposed indicator can empirically be tested.
Design/methodology/approach: PWR values can be found by recursively multiplying the citation matrix by itself until convergence is reached in both the cited and citing dimensions; the quotient of these two values is defined as PWR. We study the effectiveness of PWR using journal ecosystems drawn from the Library and Information Science (LIS) set of the Web of Science (83 journals) as an example. Pajek is used to compute PWRs for the full set, and Excel for the computation in the case of the two smaller sub-graphs: (1) JASIST+ the seven journals that cite JASIST more than 100 times in 2012; and (2) MIS Quart+ the nine journals citing this journal to the same extent.
Findings: A test using the set of 83 journals converged, but did not provide interpretable results. Further decomposition of this set into homogeneous sub-graphs shows that—like most other journal indicators—PWR can perhaps be used within homogeneous sets, but not across citation communities. We conclude that PWR does not work as a journal impact indicator; journal impact, for example, is not a tournament.
Research limitations: Journals that are not represented on the “citing” dimension of the matrix—for example, because they no longer appear, but are still registered as “cited” (e.g. ARIST)—distort the PWR ranking because of zeros or very low values in the denominator.
Practical implications: The association of “cited” with “power” and “citing” with “weakness” can be considered as a metaphor. In our opinion, referencing is an actor category and can be Metaphor in Citation Impact Studies in terms of behavior, whereas “citedness” is a property of a document with an expected dynamics very different from that of “citing.” From this perspective, the PWR model is not valid as a journal indicator.
Originality/value: Arguments for using PWR are: (1) its symmetrical handling of the rows and columns in the asymmetrical citation matrix, (2) its recursive algorithm, and (3) its mathematical elegance. In this study, PWR is discussed and critically assessed.
;
Purpose: Ramanujacharyulu developed the Power-weakness Ratio (PWR) for scoring tournaments. The PWR algorithm has been advocated (and used) for measuring the impact of journals. We show how such a newly proposed indicator can empirically be tested.
Design/methodology/approach: PWR values can be found by recursively multiplying the citation matrix by itself until convergence is reached in both the cited and citing dimensions; the quotient of these two values is defined as PWR. We study the effectiveness of PWR using journal ecosystems drawn from the Library and Information Science (LIS) set of the Web of Science (83 journals) as an example. Pajek is used to compute PWRs for the full set, and Excel for the computation in the case of the two smaller sub-graphs: (1) JASIST+ the seven journals that cite JASIST more than 100 times in 2012; and (2) MIS Quart+ the nine journals citing this journal to the same extent.
Findings: A test using the set of 83 journals converged, but did not provide interpretable results. Further decomposition of this set into homogeneous sub-graphs shows that—like most other journal indicators—PWR can perhaps be used within homogeneous sets, but not across citation communities. We conclude that PWR does not work as a journal impact indicator; journal impact, for example, is not a tournament.
Research limitations: Journals that are not represented on the “citing” dimension of the matrix—for example, because they no longer appear, but are still registered as “cited” (e.g. ARIST)—distort the PWR ranking because of zeros or very low values in the denominator.
Practical implications: The association of “cited” with “power” and “citing” with “weakness” can be considered as a metaphor. In our opinion, referencing is an actor category and can be Metaphor in Citation Impact Studies in terms of behavior, whereas “citedness” is a property of a document with an expected dynamics very different from that of “citing.” From this perspective, the PWR model is not valid as a journal indicator.
Originality/value: Arguments for using PWR are: (1) its symmetrical handling of the rows and columns in the asymmetrical citation matrix, (2) its recursive algorithm, and (3) its mathematical elegance. In this study, PWR is discussed and critically assessed.
文章类型Research Papers
关键词Citation Impact Ranking Power Matrix Homogeneity
学科领域新闻学与传播学 ; 图书馆、情报与文献学
DOI10.20309/jdis.201617
URL查看原文
收录类别其他
语种英语
资助项目The authors acknowledge Gangan Prathap for discussing the PWR method with us in detail.
引用统计
文献类型期刊论文
条目标识符http://ir.las.ac.cn/handle/12502/8729
专题Journal of Data and Information Science_Journal of Data and Information Science-2016
通讯作者Loet Leydesdorff (E-mail: loet@leydesdorff.net).
作者单位1.Amsterdam School of Communication Research, University of Amsterdam, Amsterdam 1001 NG, The Netherlands
2.Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Munich 80539, Germany
第一作者单位中国科学院文献情报中心
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Loet Leydesdorff,Wouter de Nooy,Lutz Bornmann,等. The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the “Tournaments” Metaphor in Citation Impact Studies[J]. Journal of Data and Information Science,2016,1(3):6-26.
APA Loet Leydesdorff,Wouter de Nooy,Lutz Bornmann,&Loet Leydesdorff .(2016).The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the “Tournaments” Metaphor in Citation Impact Studies.Journal of Data and Information Science,1(3),6-26.
MLA Loet Leydesdorff,et al."The Power-weakness Ratios (PWR) as a Journal Indicator: Testing the “Tournaments” Metaphor in Citation Impact Studies".Journal of Data and Information Science 1.3(2016):6-26.
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