The Co-authorship Network Analysis of Research Papers in Malaysian Journal of Mathematical Sciences in 2019
Co-authorship Network Analysis in Malaysian Journal of Mathematical Sciences
Keywords:
Social network analysis, Co-authorship collaborate network, Centrality measure, Degree centrality, Betweeness centrality, Closeness centralityAbstract
This paper studies the co-authorship network in the field of Mathematical Sciences using social network analysis technique with the aim of developing an understanding of research collaboration in this scientific community. We have used principle of network science where the network nodes represent authors who are connected by edges if they have co-authored papers together. This research uses the co-authorship data from 68 articles published in the journal Malaysian Journal of Mathematical Sciences (shortly, MJMS) in the year 2019. The topology of 267 co-authorship networks published in MJMS in the year 2019 was examined using network analysis macro-level metrics to describe the clustering coefficient, density, network component, mean distance, and diameter. Also, micro-level metrics such as degree centrality, closeness centrality, and betweenness centrality were performed to measure the performance of each author and country in the network. For data analysis and visualization, the Gephi tool was used. The finding of the study showed that 10.29% were single-authored papers and 89.71% were multi-authored. The analysis of the authors' performance in this journal revealed that the first ranking for degree centrality and betweenness centrality belongs to the same author. This means that this author was the main author who links and brings other authors together while also connecting to various groups. On the other hand, Malaysia, Nigeria, and India played the most important roles in the network.
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