Bibliometric and Clustering Keywords Network Analysis of Scientist Creativity Research

Rahmi Qurota  Aini1   Yustika  Sya’bandari2   Ai Nurlaelasari  Rusmana2   Minsu Ha2,*   

1Middle Tennessee State University
2Kangwon National University

Abstract

Scientific thought and work have been viewed as a creativity product since 1930, and scientist known as a person who conduct creative work according to the four P creative approach. The limited studies about systematic literature scientist creativity promote this research to examine research trends of scientist creativity. This study also identifies future research implications through qualitative systematic review. Through bibliometric and clustering keywords network analysis, this study explores the research trends related to scientist creativity from 2004 to 2020. Metadata from Web of Science Core Collection database collected and bibliometrics analysis was done to identify the most influential research area, country, and the research trend. Furthermore, co-occurrence keywords analysis, clustering network were created using Text Mining ‘TM’, Network Analysis Visualization ‘igraph’ packages in R software. Educational and education research was the most researched area while science and technology were the most influential research area. Clustering network were created and growth of each four cluster topic includes 1) Creativity Research, 2) Educational and Innovation, 3) Art and Creative Process, 4) History and Philosophy of Science were discussed over the time. The first cluster covers creativity research within and between individuals. The second cluster covers the connection between education and innovation where researchers promote creativity in the education sphere leading to innovative products. The third cluster covers arts as the significant domain of the creative field. The fourth cluster covers the history and Philosophy of Science.

Figures & Tables

Fig. 1. Clustering keyword-based network analysis