Profitability and money propagation in communities of bank clients : a visual analytics approach

We analyze financial transactions of corporate bank clients not only at the level of particular customers, but also at the level of communities of customers and a system as a whole. We first build a structure of communities using the Louvain method, which in turn allows us to estimate the profitability of each community. Then, we visualize the community structure and transaction propagation in a custom-made visual analytic platform. The detection and visualization of communities proved to be extremely valuable in the study of money propagation because it revealed a critical structure and the behavior of the clients.

• Autores: Berggrun, Luis; Salamanca, Juan; Díaz, Javier Gustavo; Ospina, Juan David
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2020
• Institución: Colegio de Estudios Superiores de Administración
• Repositorio: Repositorio CESA
• Idioma: eng
• OAI Identifier: oai:repository.cesa.edu.co:10726/5065
• Acceso en línea: http://hdl.handle.net/10726/5065; https://doi.org/10.1016/j.frl.2019.101387
• Palabra clave: Clustering; Data visualization; Systemic risk; Business data processing; Information analysis
• License: Acceso Restringido