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Characterizing research leadership on geographically weighted collaboration network

Research collaborations, especially long-distance and international collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing measures of the research leadership do not take into account t...

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Autores principales: He, Chaocheng, Wu, Jiang, Zhang, Qingpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980806/
https://www.ncbi.nlm.nih.gov/pubmed/33776165
http://dx.doi.org/10.1007/s11192-021-03943-w
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author He, Chaocheng
Wu, Jiang
Zhang, Qingpeng
author_facet He, Chaocheng
Wu, Jiang
Zhang, Qingpeng
author_sort He, Chaocheng
collection PubMed
description Research collaborations, especially long-distance and international collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing measures of the research leadership do not take into account the intensity of leadership in the co-authorship network. More importantly, the spatial features, which influence the collaboration patterns and research outcomes, have not been incorporated in measuring the research leadership. To fill the gap, we construct an institution-level weighted co-authorship network that integrates two types of weight on the edges: the intensity of collaborations and the spatial score (the geographical distance adjusted by the cross-linguistic-border nature). Based on this network, we propose a novel metric, namely the spatial research leadership rank, to identify the leading institutions while considering both the collaboration intensity and the spatial features. The leadership of an institution is measured by the following three criteria: (a) the institution frequently plays the corresponding rule in papers with other institutions; (b) the institution frequently plays the corresponding rule in longer distance and even cross-linguistic-border collaborations; (c) the participating institutions led by the institution have high leadership status themselves. Harnessing a dataset of 323,146 journal publications in pharmaceutical sciences during 2010–2018, we perform a comprehensive analysis of the geographical distribution and dynamic patterns of research leadership flows at the institution level. The results demonstrate that the SpatialLeaderRank outperforms baseline metrics in predicting the scholarly impact of institutions. And the result remains robust in the field of Information Science and Library Science. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-03943-w.
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spelling pubmed-79808062021-03-23 Characterizing research leadership on geographically weighted collaboration network He, Chaocheng Wu, Jiang Zhang, Qingpeng Scientometrics Article Research collaborations, especially long-distance and international collaborations, have become increasingly prevalent worldwide. Recent studies highlighted the significant role of research leadership in collaborations. However, existing measures of the research leadership do not take into account the intensity of leadership in the co-authorship network. More importantly, the spatial features, which influence the collaboration patterns and research outcomes, have not been incorporated in measuring the research leadership. To fill the gap, we construct an institution-level weighted co-authorship network that integrates two types of weight on the edges: the intensity of collaborations and the spatial score (the geographical distance adjusted by the cross-linguistic-border nature). Based on this network, we propose a novel metric, namely the spatial research leadership rank, to identify the leading institutions while considering both the collaboration intensity and the spatial features. The leadership of an institution is measured by the following three criteria: (a) the institution frequently plays the corresponding rule in papers with other institutions; (b) the institution frequently plays the corresponding rule in longer distance and even cross-linguistic-border collaborations; (c) the participating institutions led by the institution have high leadership status themselves. Harnessing a dataset of 323,146 journal publications in pharmaceutical sciences during 2010–2018, we perform a comprehensive analysis of the geographical distribution and dynamic patterns of research leadership flows at the institution level. The results demonstrate that the SpatialLeaderRank outperforms baseline metrics in predicting the scholarly impact of institutions. And the result remains robust in the field of Information Science and Library Science. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-03943-w. Springer International Publishing 2021-03-20 2021 /pmc/articles/PMC7980806/ /pubmed/33776165 http://dx.doi.org/10.1007/s11192-021-03943-w Text en © Akadémiai Kiadó, Budapest, Hungary 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
He, Chaocheng
Wu, Jiang
Zhang, Qingpeng
Characterizing research leadership on geographically weighted collaboration network
title Characterizing research leadership on geographically weighted collaboration network
title_full Characterizing research leadership on geographically weighted collaboration network
title_fullStr Characterizing research leadership on geographically weighted collaboration network
title_full_unstemmed Characterizing research leadership on geographically weighted collaboration network
title_short Characterizing research leadership on geographically weighted collaboration network
title_sort characterizing research leadership on geographically weighted collaboration network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980806/
https://www.ncbi.nlm.nih.gov/pubmed/33776165
http://dx.doi.org/10.1007/s11192-021-03943-w
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