Mapping Diversity of Publication Patterns in the Social Sciences and Humanities： An Approach Making Use of Fuzzy Cluster Analysis

• 作者: Arie Weeren Frederik T. Verleysen
• 来源期刊: 数据与情报科学学报：英文版
• 学科: 社会科学
• 关键词: 数据 情报科学
• 年，卷（期）: 2016,（4）
• 页码范围: 33-59
• 页数: 27页
• 分类号: G2

摘要

Purpose： To present a method for systematically mapping diversity of publication patterns atthe author level in the social sciences and humanities in terms of publication type, publicationlanguage and co-authorship.Design/methodology/approach： In a follow-up to the hard partitioning clustering byVerleysen and Weeren in 2016, we now propose the complementary use of fuzzy clusteranalysis, making use of a membership coefficient to study gradual differences betweenpublication styles among authors within a scholarly discipline. The analysis of the probabilitydensity function of the membership coefficient allows to assess the distribution of publicationstyles within and between disciplines.