Evidence from 184 countries over the span of 25 years is gathered and analyzed to understand North–North, South–South, and North–South international migration flows. Conceptually, the analysis borrows from network theory and Migration Systems Theory (MST) to develop a model to characterize the structure and evolution of international migration flows. Methodologically, the Stochastic Actor-oriented Model of network dynamics is used to jointly model the three types of flows under analysis. Results show that endogenous network effects at the monadic, dyadic, and triadic levels of analysis are relevant to understand the emergence and evolution of migration flows. The findings also show that a core set of non-network covariates, suggested by MST as key drivers of migration flows, does not always explain migration dynamics in the systems under analysis in a consistent fashion; thus, suggesting the existence of important levels of heterogeneity inherent to these three types of flows. Finally, evidence related to the role of political instability and countries’ care deficits is also discussed as part of the analysis. Overall, the results highlight the importance of analyzing flows across the globe beyond typically studied migratory corridors (e.g., North–South flows) or regions (e.g., Europe).

收集并分析了过去25年中来自184个国家的证据，以了解北北，北南，南北和北南国际移民流动。从概念上讲，该分析借鉴了网络理论和移民系统理论（MST），以开发一个模型来表征国际移民流动的结构和演变。在方法论上，使用面向随机行为者的网络动力学模型来共同对三种类型的分析流进行建模。结果表明，在分析的三元，二元和三元层次上的内源网络效应与了解迁移流的出现和演化有关。研究结果还表明，MST建议将一组核心的非网络协变量作为迁移流程的主要驱动力，并不总是以一致的方式解释所分析系统中的迁移动态；因此，这暗示了这三种类型的流量固有的重要异质性水平的存在。最后，作为分析的一部分，还讨论了与政治不稳定和国家医疗保健赤字的作用有关的证据。总体而言，结果突出了分析全球范围内超出典型研究的迁徙走廊（如南北流量）或地区（如欧洲）的流量的重要性。