Research Leadership Flow Determinants and the Role of Proximity in Research Collaborations Networks
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ID: 281942
2019
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Abstract
Characterizing the leadership in research is important to revealing the
interaction pattern and organizational structure through research
collaboration. This research defines the leadership role based on the
corresponding author's affiliation, and presents, the first quantitative
research on the factors and evolution of five proximity dimensions
(geographical, cognitive, institutional, social and economic) of research
leadership. The data to capture research leadership consists of a set of
multi-institution articles in the life sciences and biomedical during 2013-2017
from Web of Science Core Citation Database. Our sample consists of 484,903
articles from 244 Chinese institutions, which have been the primary affiliation
of the corresponding author for at least one paper (with multiple institutions)
in each year. A Tobit regression-based gravity model indicates that research
leadership mass of both the leading and participating institutions and the
geographical, cognitive, institutional, social and economic proximity are
important factors of the flow of research leadership among Chinese
institutions. In general, the effect of these proximity for research leadership
flow has been declining recently. The outcome of this research sheds light on
the leadership evolution and flow among Chinese institutions, and thus can
provide evidence and support for grant allocation policy to facilitate
scientific research and collaborations.
| Reference Key |
qingpeng2019research
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|---|---|
| Authors | He Chaocheng; Wu Jiang; Zhang Qingpeng |
| Journal | arXiv |
| Year | 2019 |
| DOI |
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