Enterprise potential risk early warning method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of big data, is applied to the financial industry, and provides an enterprise potential risk early warning method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a sample; obtaining an enterprise association map and extracting a node association relationship; obtaining a risk parameter tag carriedby a propagation starting node in the enterprise association map, and obtaining a propagation path of the risk parameter tag according to the association relationship between the risk parameter tag and the node, obtaining a propagation coefficient among the nodes in the propagation path, and carrying out tag propagation processing on the risk parameter tag according to the propagation path and the propagation coefficient to obtain potential risk early warning information of the node. According to the scheme, an enterprise association map and label propagation processing are carried out; According to the technical scheme, the propagation path and the propagation coefficient are determined by utilizing the incidence relation between the corresponding nodes of the enterprise, effective propagation of the risk parameter tags is carried out, enterprise potential risk early warning is obtained through analysis more quickly and accurately, and compared with a manual analysis mode, the enterprise potential risk analysis efficiency and early warning reliability are improved.

Description

technical field [0001] The present application relates to the field of big data technology, in particular to a method, device, computer equipment and storage medium for early warning of potential risks of enterprises. Background technique [0002] With the advancement of science and technology and the rapid development of the Internet, we have entered the era of big data. In the public data of enterprises, we can see a lot of valuable information data, such as the investment relationship between enterprises, cooperative relations, bidding information, etc. data. Through these data, such as cash flow, enterprise mergers and acquisitions, etc., the relationship between enterprises can be intuitively reflected, but the potential risk relationship between enterprises cannot be well discovered. [0003] In the traditional method, the risk analysis of enterprises relies on analysts to manually collect data, write research reports, and analyze the relationship between risks among ...

AI Technical Summary

Problems solved by technology

Through these data, such as cash flow, enterprise mergers and acquisitions, etc., the relationship between enterprises can be intuitively reflected, but the potential risk relationship between enterprises cannot be well discovered.

[0003] In the traditional method, the risk analysis of enterprises relies on analysts to manually collect data, write research reports, and analyze the relationship between risks among enterprises based on business experience, so as to determine the potential risks of enterprises, which is difficult and inefficient

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