Super-partnerships exist between scholars connected within densely-knit collaboration networks. Understanding how such relationships affect scholars' careers is of great importance. In this paper, focusing on the longitudinal aspects of scientific collaboration, we analyze collaboration profiles from the egocentric perspective and use analytic extreme value thresholds to identify super-partners. A total of 5722 pairs of super-partners are found in the field of economics. The several interesting findings about super-partners are summarized as follows. (1) The collaboration pattern of super-partners can be divided into three types: the dual-core, bridge, and triangle types. (2) Gender disparities are reflected in the collaboration among super-partners, and the stability of super-partnerships involving different combinations of genders displays different characteristics. The random-effect model is constructed to explore the effect of a super-partnership on both parties from the aspects of productivity and influence, which also shows gender disparities. (3) A super-partnership contributes to above-average productivity and citation impacts of the publication for three collaboration patterns, and the research improvement of the triangle type is the greatest among the three types. Overall, this paper explores the characteristics of super-partners and the added value of a long-term commitment, which provides quantitative insights into the effect on scientific collaboration associated with close collaboration.

中文翻译：

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理解科学合作中的超级伙伴关系：来自经济学领域的证据

超级伙伴关系存在于紧密结合的合作网络中的学者之间。了解这种关系如何影响学者的职业生涯非常重要。在本文中，我们关注科学合作的纵向方面，从自我中心的角度分析合作概况，并使用分析极值阈值来识别超级合作伙伴。经济领域共找到5722对超级合伙人。关于超级伙伴的几个有趣的发现总结如下。 (1)超级伙伴的协作模式可分为双核型、桥接型、三角型三种。 （2）性别差异体现在超级合伙人之间的合作上，不同性别组合的超级合伙人的稳定性表现出不同的特征。构建随机效应模型是为了从生产力和影响力方面探讨超级伙伴关系对双方的影响，这也显示了性别差异。 (3)超级合作关系对三种合作模式的出版物的生产力和引用影响力均产生了高于平均水平的贡献，其中三角型的研究进步是三种类型中最大的。总体而言，本文探讨了超级合作伙伴的特征以及长期承诺的附加值，这为密切合作对科学合作的影响提供了定量见解。