Detecting Research Teams through Active Collaborative Participation

ABSTRACT Research teams naturally appear from long‐term collaborations. However, effectively tracking their evolution, showing cross‐team participation, and defining team activity periods pose significant challenges. To address these issues, we propose an innovative method involving the computation of an annual active index for each researcher. We applied our method to analyze the solid‐state battery domain. Leveraging co‐inventor relationships, we found 246 teams, categorized into three groups based on their size. Approximately one‐third of these teams drive technological development, with more than half of the members taking part in multiple teams simultaneously.

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Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2024-10-01
DOI
https://doi.org/10.1002/pra2.1205
Primary Topic
Interdisciplinary Research and Collaboration
Type
article
Field-Weighted Citation Impact
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article

Detecting Research Teams through Active Collaborative Participation

Chao‐Chih Hsueh, Chun‐Chieh Wang, Chung‐Huei Kuan, Dar‐Zen Chen
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Proceedings of the Association for Information Science and Technology
Interdisciplinary Research and Collaboration
article

Detecting Research Teams through Active Collaborative Participation

Chao‐Chih Hsueh, Chun‐Chieh Wang, Chung‐Huei Kuan, Dar‐Zen Chen
article en

Abstract

ABSTRACT Research teams naturally appear from long‐term collaborations. However, effectively tracking their evolution, showing cross‐team participation, and defining team activity periods pose significant challenges. To address these issues, we propose an innovative method involving the computation of an annual active index for each researcher. We applied our method to analyze the solid‐state battery domain. Leveraging co‐inventor relationships, we found 246 teams, categorized into three groups based on their size. Approximately one‐third of these teams drive technological development, with more than half of the members taking part in multiple teams simultaneously.

Proceedings of the Association for Information Science and TechnologyVol. 61(1)
National Taiwan University of Science and Technology (TW), National Pingtung University of Science and Technology (TW), National Taiwan University (TW)
Openalex Percentile: Top 80%
Interdisciplinary Research and Collaboration
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