Jaccard index-Based Assessing the Similarity of Research Fields in Dimensions

被引:0
|
作者
Shtovba, Serhiy [1 ]
Petrychko, Mykola [1 ]
机构
[1] Vinnytsia Natl Tech Univ, Khmelnytske Shose 95, UA-21021 Vinnytsia, Ukraine
关键词
scientometrics; research field; similarity; interdisciplinary; Dimensions; Jaccard index; stickiness index; distribution; categorization; Zipf law;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We calculated the similarity of 10878 pairs of the research fields for 2010-2019 and for 2000-2009 on base of Dimensions data. The similarity of the research fields is assessed by Jaccard index. The most tied research fields for 2010-2019 are Specialist Studies in Education and Curricular and Pedagogy, whereas this pair holds rank #6 for 2000-2009. Dynamics of Jaccard index distributions does not confirm a hypothesis about increasing the share of interdisciplinary research over time. It is detected that the most collaborated research field for the both time intervals is Mechanical Engineering. This research field has maximum sum of Jaccard indexes with all the other research fields (so called stickiness index). It is detected that the most tied triad of research fields for the both time intervals are Commercial Services, Marketing, and Tourism. Distribution of similarity of the research fields, distribution of stickiness of single research field, and distribution of stickiness of triad of the research fields look like to Zipf law with 3 stable zones.
引用
收藏
页码:117 / 128
页数:12
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