TY - GEN
T1 - Navigating the Trade-offs between Independence and Collaboration
T2 - 2022 Portland International Conference on Management of Engineering and Technology, PICMET 2022
AU - Zhang, Yi
AU - Wu, Mengjia
AU - Wang, Ximeng
AU - Chen, Hongshu
N1 - Publisher Copyright:
© 2022 PICMET.
PY - 2022
Y1 - 2022
N2 - Research independence emphasizes the ability to conduct individual work, while collaboration highlights establishing academic connections for team-based activities. Since the two dimensions have become crucial indicators for individual-based research evaluation, how to handle the trade-offs between research independence and collaboration diversity is raised. This paper exploits network analytics to investigate the two indicators via an integrated network that includes an author-term network and a co-authorship network. Specifically, a diffusion-based network analytic model is proposed to evaluate independence by considering the uniqueness of the use of terms, and, in parallel, collaboration diversity is quantified by the strength and breadth of a researcher's co-authorships. We applied the proposed method to a dataset with 19,612 information science-related articles. The observed results not only well demonstrate the reliability of the proposed method but also empirically uncover a balancing threshold between the two indicators, providing references for researchers and decision-makers in the discipline.
AB - Research independence emphasizes the ability to conduct individual work, while collaboration highlights establishing academic connections for team-based activities. Since the two dimensions have become crucial indicators for individual-based research evaluation, how to handle the trade-offs between research independence and collaboration diversity is raised. This paper exploits network analytics to investigate the two indicators via an integrated network that includes an author-term network and a co-authorship network. Specifically, a diffusion-based network analytic model is proposed to evaluate independence by considering the uniqueness of the use of terms, and, in parallel, collaboration diversity is quantified by the strength and breadth of a researcher's co-authorships. We applied the proposed method to a dataset with 19,612 information science-related articles. The observed results not only well demonstrate the reliability of the proposed method but also empirically uncover a balancing threshold between the two indicators, providing references for researchers and decision-makers in the discipline.
UR - https://www.scopus.com/pages/publications/85139173391
U2 - 10.23919/PICMET53225.2022.9882598
DO - 10.23919/PICMET53225.2022.9882598
M3 - Conference contribution
AN - SCOPUS:85139173391
T3 - PICMET 2022 - Portland International Conference on Management of Engineering and Technology: Technology Management and Leadership in Digital Transformation - Looking Ahead to Post-COVID Era, Proceedings
BT - PICMET 2022 - Portland International Conference on Management of Engineering and Technology
A2 - Kocaoglu, Dundar F.
A2 - Anderson, Timothy R.
A2 - Kozanoglu, Dilek Cetindamar
A2 - Niwa, Kiyoshi
A2 - Steenhuis, Harm-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 August 2022 through 11 August 2022
ER -