社区货币网络中的拓扑组件
Topological Components in a Community Currency Network
AI总结：
本文利用网络科学分析肯尼亚Sarafu社区货币网络，定义拓扑分类识别循环与非循环组件，发现强连通组件在货币再循环中起关键作用，并揭示了潜在的系统滥用与试用用户行为，为货币网络用户行为分析提供通用定量工具。
摘要：
数字支付系统的交易数据可用于以前无法实现的精细程度来研究经济过程。本文分析了来自肯尼亚社区包容性货币 Sarafu token 网络的数据。在 COVID-19 紧急情况期间，Sarafu 作为人道主义援助项目的一部分进行分发。本工作使用网络科学对交易进行分析。定义了一种拓扑分类来识别循环和非循环组件。此外，还考虑了在这些组件内发生的流通的时间方面。与随机化零模型相比，不同类型的强连通组件的显著存在表明了循环在这个经济网络中的重要性。特别是，指出其在货币再循环中的关键作用。在一些非循环组件中，最显著的三元组表明存在一组用户从仅活跃一次的账户中收集货币，暗示系统可能被滥用。在另一些非循环组件中，小规模孤立用户群体仅活跃一次，表明存在仅对试用系统感兴趣的用户。本文使用的方法可以回答与用户活动、货币设计和货币干预评估相关的具体问题。该方法提供了一个通用的定量工具来分析货币网络中用户的行为。
英文摘要：
Transaction data from digital payment systems can be used to study economic processes in such detail that was not possible previously. Here, data from the Sarafu token network, a Community Inclusion Currency in Kenya, is analysed. During the COVID-19 emergency, Sarafu was distributed as part of a humanitarian aid project. In this work, the transactions are analysed using network science. A topological categorisation is defined to identify cyclic and acyclic components. Furthermore, temporal aspects of the circulation that takes place within these components are considered. The significant presence of different types of strongly connected components compared to randomised null models shows the importance of cycles in this economic network. Especially, indicating their key role in currency recirculation. In some acyclic components, the most significant triad suggests the presence of a group of users collecting currency from accounts that are active only once, hinting at a possible misuse of the system. In some other acyclic components, small isolated groups of users were active only once, suggesting the presence of users only interested in trying the system out. The methods used in this paper can answer specific questions related to user activities, currency design, and assessment of monetary interventions. The methodology provides a general quantitative tool to analyse the behaviour of users in a currency network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
