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Social network analysis and data visualization of MIS international collaboration in Taiwan

Yung-Ting Chuang (Institute of Information Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan)
Yi-Hsi Chen (Department of Information Management, National Chung Cheng University, Chia‐Yi, Taiwan)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 15 March 2021

Issue publication date: 22 November 2022

384

Abstract

Purpose

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

Design/methodology/approach

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

Findings

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

Originality/value

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

Keywords

Acknowledgements

This research was supported in part by MOST 106-2410-H-194-027-MY2 and MOST 108-2410-H-009-057 of the Ministry of Science and Technology, Taiwan

Citation

Chuang, Y.-T. and Chen, Y.-H. (2022), "Social network analysis and data visualization of MIS international collaboration in Taiwan", Library Hi Tech, Vol. 40 No. 5, pp. 1422-1458. https://doi.org/10.1108/LHT-08-2020-0186

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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