Open Access Mini Review

The Use of Dissimilarity Measures for the Study of Evolution in Scientific Fields

Lukun Zheng* and Yuhang Jiang

Department of Mathematics, Western Kentucky University, Bowling Green, USA

Corresponding Author

Received Date: April 23, 2021;  Published Date: April 29, 2021


One of the key issues in evolution of scientific field is to quantify the dissimilarity between two collections of scientific publications in literature. Many existing works study the evolution based on one or two dissimilarity measures, despite the fact that there are many different dissimilarity measures. Finding the appropriate dissimilarity measures among such a collection of choices is of fundamental importance to the study of scientific evolution. In this paper, we attempt to study the use of dissimilarity measures in scientific evolution.

Keywords: Scientific evolution; Dissimilarity measures; Principal component analysis (PCA); Dissimilarity integration

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