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Risk judgment method and device for relational network topology and medium

A technology of relational network and network topology, applied in the field of information processing, can solve problems such as low efficiency, poor accuracy, relying on subjective judgment, etc., to achieve the effect of improving efficiency, reducing impact, and evaluating risk efficiently and accurately

Pending Publication Date: 2021-08-27
ALIBABA GRP HLDG LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Both methods rely on the administrator's business experience, which is inefficient, and depends on human subjective judgment, and the accuracy is poor

Method used

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  • Risk judgment method and device for relational network topology and medium
  • Risk judgment method and device for relational network topology and medium
  • Risk judgment method and device for relational network topology and medium

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Embodiment Construction

[0053] The present invention is described below based on examples, but the present invention is not limited to these examples. In the following detailed description of the invention, some specific details are set forth in detail. The present invention can be fully understood by those skilled in the art without the description of these detailed parts. In order to avoid obscuring the essence of the present invention, well-known methods, procedures, and flow charts are not described in detail. Additionally, the drawings are not necessarily drawn to scale.

[0054] The method for determining the risk of the relationship network topology according to the embodiment of the present invention can be used in scenarios such as enterprise map analysis. The enterprise map is a product that provides one-stop enterprise data services for enterprises. By integrating enterprise and enterprise-related information, mining massive unstructured data on the Internet, combined with multi-dimensi...

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Abstract

The invention provides a risk judgment method and device for relational network topology and a medium. The method comprises the following steps: obtaining a plurality of relational network topologies which are judged as risks, the relational network topologies being connected graphs formed by nodes and directed edges among the nodes; extracting common sub-topologies in the plurality of relational network topologies which are judged as risks; adding public elements of the nodes or the directed edges in the relation network topologies judged as risks to the nodes or the directed edges in the common sub-topologies, and the common sub-topology with the added nodes or the directed edges serving as risk mode sub-topologies; and if the relational network topology to be judged contains the risk mode sub-topology, judging that the relational network topology to be judged is at risk. According to the embodiment of the invention, the risk judgment of the relational network topology is more efficient and accurate.

Description

technical field [0001] The present invention relates to the field of information processing, in particular, to a risk determination method, device and medium of a relational network topology. Background technique [0002] In the era of big data, the relationship (such as invoicing, transfer, guarantee) between entities (such as units, etc.) is often some very important data. Through these data, it can be analyzed whether the relationship between entities is normal, whether the entities are engaged in engaging in some inappropriate behavior, etc. The basis of entity-relationship big data analysis is relational network topology. Relational network topology is a connected graph composed of nodes and directed edges between nodes, in which nodes are used to represent entities, and directed edges are used to represent relationships between entities (such as guarantees and transfers). The relationship network topology is based on some visual relationship network products, based o...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q40/02G06F16/28
CPCG06Q10/0635G06F16/288G06Q40/03
Inventor 钱伟红
Owner ALIBABA GRP HLDG LTD
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