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

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Date
2020-11
Author
Berggrun, Luis
Salamanca, Juan
Díaz, Javier Gustavo
Ospina, Juan David

Citación

       
TY - GEN T1 - Profitability and money propagation in communities of bank clients : a visual analytics approach UR - http://hdl.handle.net/10726/5065 PB - Elsevier Inc. AB - ER - @misc{10726_5065, author = {Berggrun Luis and Salamanca Juan and Díaz Javier Gustavo and Ospina Juan David}, title = {Profitability and money propagation in communities of bank clients : a visual analytics approach}, language = {eng}, orcid = {Berggrun, Luis [0000-0002-8489-0818]}, orcid = {Ospina, Juan David [0000-0002-3547-5247]}, scopus = {Berggrun, Luis [37057140100]}, scopus = {Salamanca, Juan [56428901100]}, scopus = {Díaz, Javier Gustavo [57210314284]}, scopus = {Ospina, Juan David [57510972600]}, year1 = {2023-06-21T22:23:02Z}, year2 = {2023-06-21T22:23:02Z}, abstract2 = {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.}, instname = {instname:Colegio de Estudios Superiores de Administración – CESA}, reponame = {reponame:Biblioteca Digital – CESA}, typedrive = {info:eu-repo/semantics/article}, url = {http://hdl.handle.net/10726/5065} }RT Generic T1 Profitability and money propagation in communities of bank clients : a visual analytics approach LK http://hdl.handle.net/10726/5065 PB Elsevier Inc. AB OL Spanish (121)
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Abstract
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.
DOI
https://doi.org/10.1016/j.frl.2019.101387
URI
http://hdl.handle.net/10726/5065
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  • Artículos y borradores de administración – Working papers [230]

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