Venturini Sara, Sikdar Satyaki, Rinaldi Francesco, Tudisco Francesco, Fortunato Santo
Department of Mathematics "Tullio Levi-Civita", University of Padova, 35121, Padua, Italy.
Luddy School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN, 47408, USA.
Sci Rep. 2024 Jan 13;14(1):1258. doi: 10.1038/s41598-024-51606-6.
Collaboration is a key driver of science and innovation. Mainly motivated by the need to leverage different capacities and expertise to solve a scientific problem, collaboration is also an excellent source of information about the future behavior of scholars. In particular, it allows us to infer the likelihood that scientists choose future research directions via the intertwined mechanisms of selection and social influence. Here we thoroughly investigate the interplay between collaboration and topic switches. We find that the probability for a scholar to start working on a new topic increases with the number of previous collaborators, with a pattern showing that the effects of individual collaborators are not independent. The higher the productivity and the impact of authors, the more likely their coworkers will start working on new topics. The average number of coauthors per paper is also inversely related to the topic switch probability, suggesting a dilution of this effect as the number of collaborators increases.
合作是科学与创新的关键驱动力。合作主要是受利用不同能力和专业知识来解决科学问题的需求所推动,同时也是了解学者未来行为的绝佳信息来源。特别是,它使我们能够通过选择和社会影响的相互交织机制,推断科学家选择未来研究方向的可能性。在此,我们深入研究合作与主题转换之间的相互作用。我们发现,学者开始研究新主题的概率会随着之前合作者的数量增加而上升,呈现出一种个体合作者的影响并非相互独立的模式。作者的生产力和影响力越高,其同事就越有可能开始研究新主题。每篇论文的合著者平均数量也与主题转换概率呈负相关,这表明随着合作者数量的增加,这种影响会被稀释。