Petersen Alexander Michael
Laboratory for the Analysis of Complex Economic Systems, Institutions, Markets, Technologies (IMT) Lucca Institute for Advanced Studies, 55100 Lucca, Italy
Proc Natl Acad Sci U S A. 2015 Aug 25;112(34):E4671-80. doi: 10.1073/pnas.1501444112. Epub 2015 Aug 10.
Scientists are frequently faced with the important decision to start or terminate a creative partnership. This process can be influenced by strategic motivations, as early career researchers are pursuers, whereas senior researchers are typically attractors, of new collaborative opportunities. Focusing on the longitudinal aspects of scientific collaboration, we analyzed 473 collaboration profiles using an egocentric perspective that accounts for researcher-specific characteristics and provides insight into a range of topics, from career achievement and sustainability to team dynamics and efficiency. From more than 166,000 collaboration records, we quantify the frequency distributions of collaboration duration and tie strength, showing that collaboration networks are dominated by weak ties characterized by high turnover rates. We use analytic extreme value thresholds to identify a new class of indispensable super ties, the strongest of which commonly exhibit >50% publication overlap with the central scientist. The prevalence of super ties suggests that they arise from career strategies based upon cost, risk, and reward sharing and complementary skill matching. We then use a combination of descriptive and panel regression methods to compare the subset of publications coauthored with a super tie to the subset without one, controlling for pertinent features such as career age, prestige, team size, and prior group experience. We find that super ties contribute to above-average productivity and a 17% citation increase per publication, thus identifying these partnerships--the analog of life partners--as a major factor in science career development.
科学家经常面临启动或终止创造性合作关系的重要决策。这一过程可能受到战略动机的影响,因为早期职业研究人员是新合作机会的追求者,而资深研究人员通常是吸引者。着眼于科学合作的纵向方面,我们采用以自我为中心的视角分析了473个合作概况,该视角考虑了研究人员的特定特征,并深入探讨了一系列主题,从职业成就和可持续性到团队动态和效率。从超过166,000条合作记录中,我们量化了合作持续时间和关系强度的频率分布,表明合作网络由高周转率的弱关系主导。我们使用分析极值阈值来识别一类新的不可或缺的超级关系,其中最强的超级关系通常与核心科学家有>50%的论文重叠。超级关系的普遍存在表明,它们源于基于成本、风险、奖励分享和互补技能匹配的职业策略。然后,我们使用描述性和面板回归方法相结合的方式,将与超级关系共同撰写的论文子集与没有超级关系的子集进行比较,同时控制职业年龄、声望、团队规模和先前团队经验等相关特征。我们发现,超级关系有助于提高平均以上的生产力,且每篇论文的引用率提高17%,从而确定这些合作关系——类似于生活伴侣——是科学职业发展的一个主要因素。