The migration of scholars is a major driver of innovation and of diffusion of knowledge. Although large-scale bibliometric data have been used to measure international migration of scholars, our understanding of internal migration among researchers is very limited. This is partly due to a lack of data aggregated at a suitable sub-national level. In this study, we analyze internal migration in Mexico based on over 1.1 million authorship records from the Scopus database. We trace the movements of scholars between Mexican states, and provide key demographic measures of internal migration for the 1996–2018 period. From a methodological perspective, we develop a new framework for enhancing data quality, inferring states from affiliations, and detecting moves from modal states for the purposes of studying internal migration among researchers. Substantively, we combine demographic and network science techniques to improve our understanding of internal migration patterns within country boundaries. The migration patterns between states in Mexico appear to be heterogeneous in size and direction across regions. However, while many scholars remain in their regions, there seems to be a preference for Mexico City and the surrounding states as migration destinations. We observed that over the past two decades, there has been a general decreasing trend in the crude migration intensity. However, the migration network has become more dense and more diverse, and has included greater exchanges between states along the Gulf and the Pacific Coast. Our analysis, which is mostly empirical in nature, lays the foundations for testing and developing theories that can rely on the analytical framework developed by migration scholars, and the richness of appropriately processed bibliometric data.

学者的迁徙是创新和知识传播的主要动力。尽管已使用大规模文献计量数据来衡量学者的国际迁移，但我们对研究人员内部迁移的理解非常有限。部分原因是缺乏在适当的地方以下级别汇总的数据。在这项研究中，我们基于来自Scopus数据库的110万作者记录，分析了墨西哥的内部迁移。我们追踪了墨西哥各州之间学者的动向，并提供了1996-2018年期间内部移民的主要人口统计学指标。从方法论的角度来看，我们开发了一个新的框架，用于增强数据质量，从隶属关系推断状态以及从模态状态检测移动，以研究研究人员之间的内部迁移。实质上，我们结合了人口统计和网络科学技术，以增进对国家边界内内部移民模式的了解。墨西哥各州之间的迁移模式在规模和跨地区的方向上似乎是异类的。但是，尽管许多学者仍留在他们的地区，但似乎更倾向于将墨西哥城和周围的州作为移民目的地。我们观察到，在过去的二十年中，原油迁移强度总体呈下降趋势。但是，移徙网络变得更加密集和多样化，并包括沿海湾国家和太平洋沿岸国家之间的更多往来。我们的分析本质上是经验性的，