Academic migration is the change of host institution by a researcher, typically aimed at achieving a stronger research profile. Scientific features such as the number of collaborations, the productivity and its research impact tend to be directly affected by such movements. In this paper, we analyse the dynamics of the collaboration network of researchers as they move from an institution to the next one. We specifically highlight cases where they increase and when they shrink, and quantify the dependency between the collaboration networks before and after such a movement. Finally, we drill down the analysis by dividing movements depending on the career stage of the researchers. The analysis shows a remarkable dynamism of collaboration networks across migrations. Interestingly, not always movements result in larger collaboration networks, while the overall similarity between networks across movements is quite limited on average. Qualitatively, the same effects can be found at all career stages, while, clearly, the magnitude of them might vary. These results are based on a dataset extracted from Scopus, containing detailed scientific information for the publications of 84,141 researchers.
翻译:学术移徙是研究者改变东道机构的做法,通常目的是实现更强有力的研究特征。科学特征,如合作次数、生产力及其研究影响等,往往会受到这种流动的直接影响。在本文中,我们分析研究人员从一个机构向下一个机构流动时的协作网络动态。我们特别突出其增加和缩小的案例,并量化在这种流动之前和之后的协作网络之间的依赖性。最后,我们根据研究人员的职业阶段划分运动,对分析进行钻探。分析显示了跨移民协作网络的显著活力。有趣的是,流动并非总能带来更大的合作网络,而不同运动网络之间的总体相似性平均相当有限。从质量上看,在所有职业阶段都可以看到同样的效应,而其规模可能各不相同。这些结果基于从Scopus提取的数据集,其中载有84 141名研究人员出版物的详细科学信息。