The mobility of scientists between different universities and countries is important to foster knowledge exchange. At the same time, the potential mobility is restricted by geographic and institutional constraints, which leads to temporal correlations in the career trajectories of scientists. To quantify this effect, we extract 3.5 million career trajectories of scientists from two large scale bibliographic data sets and analyze them applying a novel method of higher-order networks. We study the effect of temporal correlations at three different levels of aggregation, universities, cities and countries. We find strong evidence for such correlations for the top 100 universities, i.e. scientists move likely between specific institutions. These correlations also exist at the level of countries, but cannot be found for cities. Our results allow to draw conclusions about the institutional path dependence of scientific careers and the efficiency of mobility programs.

中文翻译：

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科学家的流动网络：分析科学职业中的时间相关性

科学家在不同大学和国家之间的流动对于促进知识交流非常重要。同时，潜在的流动性受到地理和制度约束的限制，这导致了科学家的职业发展轨迹的时间相关性。为了量化这种影响，我们从两个大型书目数据集中提取了350万科学家的职业轨迹，并使用一种新的高阶网络方法对其进行了分析。我们研究了时间相关性在三种不同层次的聚合，大学，城市和国家中的影响。我们发现有力的证据证明了前100强大学之间的这种相关性，即科学家可能在特定机构之间转移。这些相关性在国家一级也存在，但在城市中找不到。