Economists and social scientists have studied the human migration extensively. However, the complex network of human mobility in the United States (US) is not studied in depth. In this paper, we analyze migration network between counties and states in the US between 2000 and 2015 to analyze the overall structure of US migration and yearly changes using temporal analysis. We aggregated network on different time windows and analyzed for both county and state level. Analyzing flow between US counties and states, we focus on the migration during different periods such as economic prosperity of the housing boom and economic hardship of the housing bust. We observed that nodes at county and state level usually remain active, but there are considerable fluctuations on links. This indicates that migration patterns change over the time. However, we could identify a backbone at both county and state levels using disparity filter. Finally, we analyze impact of the political and socioeconomic factors on the migration. Using gravity model, we observe that population, political affiliation, poverty, and unemployment rate have influence on US migration.

中文翻译：

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美国移民的复杂网络

经济学家和社会科学家对人类迁徙进行了广泛的研究。但是，尚未深入研究美国复杂的人员流动网络。在本文中，我们分析了2000年至2015年美国各县之间的移民网络，以时间分析的方式分析了美国移民的总体结构和年度变化。我们在不同的时间范围内汇总了网络，并针对县级和州级进行了分析。通过分析美国各州之间的流动，我们重点研究不同时期的移民，例如住房繁荣的经济繁荣和住房泡沫破裂的经济困难。我们观察到，县和州一级的节点通常保持活动状态，但是链路上存在相当大的波动。这表明迁移模式会随时间变化。然而，我们可以使用差异过滤器在县和州两级确定骨干。最后，我们分析了政治和社会经济因素对移民的影响。使用引力模型，我们观察到人口，政治背景，贫困和失业率对美国移民产生了影响。