Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis
Frederik T. Verleysen1; Arie Weeren2; Frederik T. Verleysen (E-mail:Frederik.Verleysen@uantwerpen.be)
2016-11-03
发表期刊Journal of Data and Information Science
卷号1期号:4页码:33-59
摘要
Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.
Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.
Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers' specialization and dissemination strategies.
Research limitations: The dataset used is limited to one country for the years 2000-2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.
Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.
Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.
; Purpose: To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.
Design/methodology/approach: In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.
Findings: As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers' specialization and dissemination strategies.
Research limitations: The dataset used is limited to one country for the years 2000-2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.
Practical implications: Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.
Originality/value: The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.
文章类型Research Papers
关键词Bibliometrics Social Sciences And Humanities Publication Patterns Dissemination Cluster Analysis
学科领域新闻学与传播学 ; 图书馆、情报与文献学
DOI10.20309/jdis.201624
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语种英语
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文献类型期刊论文
条目标识符http://ir.las.ac.cn/handle/12502/8906
专题Journal of Data and Information Science_Journal of Data and Information Science-2016
通讯作者Frederik T. Verleysen (E-mail:Frederik.Verleysen@uantwerpen.be)
作者单位1.Centre for Research & Development Monitoring(ECOOM), Faculty of Social Sciences, University of Antwerp, Middelheimlaan 1, 2020 Antwerp, Belgium
2.Mathworks, Postbus 7921, 5605 SH Eindhoven, The Netherlands
第一作者单位中国科学院文献情报中心
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Frederik T. Verleysen,Arie Weeren,Frederik T. Verleysen . Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis[J]. Journal of Data and Information Science,2016,1(4):33-59.
APA Frederik T. Verleysen,Arie Weeren,&Frederik T. Verleysen .(2016).Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis.Journal of Data and Information Science,1(4),33-59.
MLA Frederik T. Verleysen,et al."Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis".Journal of Data and Information Science 1.4(2016):33-59.
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