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Characterizing research leadership on geographically weighted collaboration network
Chaocheng He1,2, Jiang Wu1, Qingpeng Zhang2
1School of Information Management, Wuhan University, Wuhan, Hubei China.
This study introduces a new metric, Spatial Research Leadership Rank, to identify leading institutions in global research collaborations. It considers collaboration intensity and geographical factors, outperforming existing methods in predicting scholarly impact.
Area of Science:
- Bibliometrics and scientometrics
- Network analysis in scientific collaborations
Background:
- Global research collaborations are increasing, with leadership playing a key role.
- Existing leadership metrics lack consideration for collaboration intensity and spatial features.
Purpose of the Study:
- To develop a novel metric for research leadership that incorporates collaboration intensity and spatial features.
- To identify leading institutions in global research networks by considering geographical distance and cross-linguistic borders.
Main Methods:
- Constructed an institution-level weighted co-authorship network with edge weights for collaboration intensity and spatial score.
- Developed the Spatial Research Leadership Rank metric based on three criteria: frequency of leadership, leadership in long-distance/cross-linguistic collaborations, and the leadership status of collaborating institutions.
- Analyzed 323,146 publications in pharmaceutical sciences (2010-2018) and Information Science and Library Science.
Main Results:
- The Spatial Research Leadership Rank effectively identifies leading institutions.
- This novel metric outperforms baseline metrics in predicting the scholarly impact of institutions.
- The findings were robust across different scientific fields.
Conclusions:
- Spatial features and collaboration intensity are crucial for accurately measuring research leadership.
- The Spatial Research Leadership Rank offers a more comprehensive approach to understanding global research leadership dynamics.
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