Community structure discovery method and system of bank customer transaction network

Abstract

The invention relates to a community structure discovery method and system of a bank customer transaction network. The method comprises the following steps: S1, extracting customer transaction data toconstruct a bank customer transaction network; s2, dividing a local community for the local sub-network of each account node; s3, determining a community label propagation sequence of the account nodes; s4, calculating the community determinacy of each account node; s5, initializing community labels of all account nodes; s6, updating the community labels of all the account nodes according to thecommunity label propagation sequence; and S7, checking whether the community label of each account node is changed or not, if so, carrying out the next round of iterative updating, and if not, dividing the community label into the same community. According to the invention, the customer transaction network is constructed based on the association relationship contained in the customer transaction data, and the community structure in the customer transaction network is found through identification, so that the problem that the economic activity rule of the customer is difficult to effectively reflect due to attribute loss of the traditional transaction analysis method depending on the customer attribute is avoided.

Description

Technical field [0001] The invention belongs to the technical field of financial technology, and specifically relates to a method and system for discovering a community structure of a bank customer transaction network. Background technique [0002] Banks are an important part of human economic life. The stable operation of banking business is closely related to the lifeline of the national economy. Among them, commercial banks have gradually developed into a highly profitable industry with very fierce competition in the industry. Information technology has been deeply and widely used in the business of commercial banks. Over the years, commercial banks have accumulated massive amounts of customer transaction data. By fully digging the underlying laws, commercial banks can be greatly improved. Management level and business competitiveness. In addition, since the personal information submitted to the bank by customers when opening an account in a bank is relatively limited, and it...

AI Technical Summary

Problems solved by technology

[0004] To sum up, the existing bank transaction data analysis work is mainly carried out on the basis of customer attribute data through traditional data mining methods, and related work based on the perspective of complex network analysis is still rare.

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