Application of Graph Analytics for Simulations of Electronic Money Turnover: Solutions, Evaluations, Forecasts

Author:

Pyrkina Olga E.,Zadadaev Sergey A.

Abstract

The graph model for electronic money turnover developed in this paper considers the system of electronic money turnover as a technological complex network. This network includes systems of electronic money payments, communications between bank and its clients, and interbank communications. The application of the graph models is based on its essential advantages such as an opportunity to expand this system to arbitrary size and visualization of the system links. While graph plotting provides us with the opportunity of carrying out qualitative (visual) system analysis, e computations of the graph metric allows performing a more quantitative analysis. The composite metric, created on the base of graph centrality measures and giving us possibilities of estimating and ranking potential risks, is considered as a foundation for methods of stability, quality and economic security control for systems of the electronic money turnover. A validity of this classification has been investigated and supported by the so-called crash tests, which simulate the random consecutive deleting of graph nodes represented in the real life by communication network nodes, for example, banks or other members of electronic money turnover system, and also by the analysis of the overall performance of the system.

Publisher

EDP Sciences

Reference14 articles.

1. Golitsin S.. Public speaking at the conference “Scoring Days 2018” at 18.04.2018 [in Russian] https://drive.google.com/drive/folders/1RAz3FQx96qkenEnd7ne3GFn1s4mThsgu, access date 20.11.2018

2. Zhidkov Yu., Kulik V., Bankovskoe kreditivanie. №3 (Reglament Bank, Moscow 2018), [in Russian]

3. Molloy I. et al., Lecture Notes in Computer Science, Vol 9603 (Springer, Berlin, Heidelberg, 2017)

4. Ali R., Vause N., Zikes F., Bank of England Financial Stability Paper No. 38 (Bank of England, 2016)

5. Computational study of the US stock market evolution: a rank correlation-based network model

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of Security Criteria for Complex Systems of Electronic Money Turnover with the Help of Graph Analytics Tools;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

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