ABSTRACT Remittances are flows of money between immigrants and their relatives. A scarcely addressed topic related to human migration is the application of Network Flow Analysis (NFA) in the study of remittances. This study provides both a theoretical and empirical macro-level study of worldwide remittance flows. Theoretically, a remittance model used by the World Bank is probabilistically analyzed and useful probability bounds are derived. Empirically, a weighted graph model built from World Bank data delivers important insight on the remittance generative process, the highest remittance flow values and inflow–outflow remittance variations. This manuscript concludes by postulating that remittances potentially result from a multiplicative process and that techniques based on NFA provide novel ways of approaching remittance dynamics problems.

中文翻译：

---

全球汇款网络：流入和流出分析

摘要 汇款是移民与其亲属之间的资金流动。与人口迁移相关的一个鲜为人知的话题是网络流量分析 (NFA) 在汇款研究中的应用。这项研究提供了对全球汇款流动的理论和实证宏观研究。从理论上讲，对世界银行使用的汇款模型进行了概率分析并推导出有用的概率界限。从经验上看，根据世界银行数据构建的加权图模型提供了关于汇款生成过程、最高汇款流量值和流入-流出汇款变化的重要见解。这份手稿的结论是假设汇款可能来自乘法过程，并且基于 NFA 的技术提供了解决汇款动态问题的新方法。