Computational analysis of a collaboration network on human-computer interaction in Korea

Seungpeel Lee; Jisu Kim; Eun Been Choi; Sojung Shin; Dogun Kim; HyeRim Yu; Seoyun Kim; Wongi S. Na; Eunil Park; Seungpeel Lee; Jisu Kim; Eun Been Choi; Sojung Shin; Dogun Kim; HyeRim Yu; Seoyun Kim; Wongi S. Na; Eunil Park

doi:10.3934/mbe.2022648

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 12: 13911-13927. doi: 10.3934/mbe.2022648

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Research article Special Issues

Computational analysis of a collaboration network on human-computer interaction in Korea

1.
Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul 03063, Korea
2.
Sahoipyoungnon Publishing Co., Inc., Seoul 03993, Korea
3.
AgileSODA, Seoul 06149, Korea
4.
Robotic Intelligence Laboratory, Universitat Jaume I, 12071 Castelln, Spain
5.
Samsung Electronics, Gyeonggi-do 16677, Korea
6.
Hanwha Systems, Seoul 04541, Korea
7.
Department of Interaction Science, Sungkyunkwan University, Seoul 03063, Korea
8.
Department of Civil Engineering, Seoul National University of Science & Technology, Seoul 01811, Korea
^†Equally contributed first authors

Received: 12 July 2022 Revised: 26 August 2022 Accepted: 06 September 2022 Published: 21 September 2022

Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related topics. In this study, we performed the trend and collaboration network analysis (CNA) in Korea for 2010–2019 among researchers who are related to human–computer interaction, one of the hottest research areas in ICT. Publication data were collected from SciVal, and the collaboration network was determined using degree, closeness, betweenness centralities, and PageRank. Hence, key researchers were identified based on their centrality metrics. The dataset contained 7,155 publications, thus reflecting the contributions of a total of 243 authors. The results of our data analysis demonstrated that key researchers can be identified via CNA; this aspect was not evident from the results of the most productive researchers. Additionally, on the basis of the results, the implications and limitations of this study were analyzed.
- collaboration,
- HCI Korea,
- research trend,
- network analysis
Citation: Seungpeel Lee, Jisu Kim, Eun Been Choi, Sojung Shin, Dogun Kim, HyeRim Yu, Seoyun Kim, Wongi S. Na, Eunil Park. Computational analysis of a collaboration network on human-computer interaction in Korea[J]. Mathematical Biosciences and Engineering, 2022, 19(12): 13911-13927. doi: 10.3934/mbe.2022648

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Abstract

Since information and communication technology (ICT) has become one of the leading and essential fields for allowing developing countries to have the major growth engines, the majority of the countries have promoted collaboration in every ICT-related topics. In this study, we performed the trend and collaboration network analysis (CNA) in Korea for 2010–2019 among researchers who are related to human–computer interaction, one of the hottest research areas in ICT. Publication data were collected from SciVal, and the collaboration network was determined using degree, closeness, betweenness centralities, and PageRank. Hence, key researchers were identified based on their centrality metrics. The dataset contained 7,155 publications, thus reflecting the contributions of a total of 243 authors. The results of our data analysis demonstrated that key researchers can be identified via CNA; this aspect was not evident from the results of the most productive researchers. Additionally, on the basis of the results, the implications and limitations of this study were analyzed.

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