Method and system for mining risk propagation path based on knowledge graph

A technology of knowledge graph and propagation path, which is applied in the field of risk propagation path mining based on knowledge graph, and can solve the problem of not being able to find the risk propagation path

Pending Publication Date: 2021-01-12
民生科技有限责任公司
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method only focuses on a single relationship and a single risk source. The network structure is simple, and it is imposs

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for mining risk propagation path based on knowledge graph
  • Method and system for mining risk propagation path based on knowledge graph
  • Method and system for mining risk propagation path based on knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0113] A method for mining risk propagation paths based on knowledge graphs, which specifically includes the following steps:

[0114] Step 1: Build a domain-specific knowledge graph: financial knowledge graph and public opinion knowledge graph

[0115] 101 Determine the data according to the construction requirements of the knowledge graph, and usually process the data in the form of triples, as shown in formula (1), where s and e represent entities, and r is the relationship between s and e.

[0116] l= (1)

[0117] Financial Knowledge Graph: For Own Structured Data D 1 , extract three entities of company, institution and person, as well as six relationships of shareholders, branches, subsidiaries, upstream and downstream suppliers, investments, etc., which are recorded as relationship set R. The data field descriptions of entities and relationships are shown in Table 1 and Table 2. On the basis of entity and relationship data, the open source graph database neo4j is selecte...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of financial data risk analysis, and relates to a method and system for mining a risk propagation path based on a knowledge graph. The method comprises thesteps: constructing the knowledge graph; extracting an adjacency matrix under each financial relationship according to the constructed knowledge graph; calculating a risk transfer probability by using a random walk algorithm to obtain a risk transfer probability matrix n, substituting the n financial relationships into a calculation formula of the risk transfer probability matrix n to obtain a risk transfer probability matrix n of the n financial relationships, and summing and averaging the obtained risk transfer probability matrix n to obtain a matrix I; establishing an adjacency list, and directly querying the risk propagation path in the adjacency list. The core concept of the knowledge graph is entities and relations, the relations between the entities are stored in a triple mode, andthe entities of different levels and the relations of different types can be integrated in one system. Through the relationship between entities such as companies and people, the problem is analyzedand solved more comprehensively from the global perspective.

Description

technical field [0001] The invention belongs to the technical field of financial data risk analysis, and in particular relates to a method and system for mining risk propagation paths based on knowledge graphs. Background technique [0002] At present, after the outbreak of the global financial crisis, financial risk has become a research focus of regulators and researchers. The reason is that financial risks have a wide range of diffusion, multiple transmission paths, and great damage, which poses a huge threat to the security of the financial system. Therefore, how to mine the transmission path of financial risks among economic entities is a very important issue, which can provide early warning of financial risks and take measures to prevent large-scale financial crises. [0003] There are many types of financial risks, but they are limited to the availability of certain data. The scope of risks discussed in the present invention includes the risks of public opinion in th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F16/36G06F16/335G06F16/35G06F16/28
CPCG06F16/288G06F16/335G06F16/355G06F16/367
Inventor 李振刘恒吴梅赵兴莹李毓瑞秦培歌张泽李勇辉
Owner 民生科技有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap