论文标题
表征有关地理加权协作网络的研究领导
Characterizing Research Leadership on Geographical Weighted Collaboration Network
论文作者
论文摘要
研究合作，尤其是长距离和跨境合作，在全球范围内越来越普遍。最近的研究强调了研究领导力在合作中的重要作用。但是，现有的研究领导措施并未考虑共同授权网络中领导力的强度。更重要的是，影响协作模式和研究成果的空间特征尚未纳入研究领导力。为了填补空白，我们构建了一个机构级的加权共同创作网络，该网络在边缘上具有两种类型的权重：协作的强度和空间分数（由跨境性质调节的地理距离）。基于该网络，我们提出了一个新颖的指标，即空间研究领导级（SpatialLeaderrank），以确定领先的机构，同时考虑协作强度和空间特征。在2010年至2018年期间，利用323,146个期刊在制药科学的期刊出版物中，我们对机构一级的研究领导力流动的地理分布和动态模式进行了全面分析。结果表明，空间Leaderrank在预测机构的学术影响方面优于基线指标。结果在信息科学与图书馆科学领域仍然很强。
Research collaborations, especially long-distance and cross-border 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 has two types of weight on the edges: the intensity of collaborations and the spatial score (the geographic distance adjusted by the cross-border nature). Based on this network, we propose a novel metric, namely the spatial research leadership rank (SpatialLeaderRank), to identify the leading institutions while considering both the collaboration intensity and the spatial features. 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 & Library Science.
