Cross-border organization analysis method based on map structure

Abstract

The invention discloses a cross-border organization analysis method based on a map structure, and the method comprises the steps of respectively extracting the entity information of cross-border persons and suspected cross-border persons through preset conditions; obtaining personnel behavior relationship data, and the behavior relationship data comprises a plurality of behavior personnel and thebehavior relationship of each behavior personnel; establishing a cross-border personnel analysis atlas through an atlas tool by utilizing entity information and personnel behavior relationship data ofcross-border personnel and suspected cross-border personnel; and identifying the cross-border organization by using an AP clustering algorithm based on a map structure. According to the invention, the cross-border organization is automatically searched, the intelligence is realized, the case handling efficiency of related personnel can be greatly improved, the labor cost is greatly reduced, and the positioning effect is improved. Compared with a traditional relational data clustering algorithm, the AP clustering algorithm based on the graph structure has the advantages that the operation rateadvantage is obvious, the algorithm does not need to specify the clustering number, existing data points are used as the final clustering center, and errors are small.

Description

technical field [0001] The present invention relates to the fields of big data analysis and data mining, and in particular to a cross-border organization analysis method based on graph structure. Background technique [0002] Regarding the crimes of Chinese citizens leaving the country, there are frequent exchanges of people at home and abroad, and cross-border personnel and organizers are hidden in the crowd, making it difficult to find; and the online and digital means of payment have made cross-border illegal transfers of funds more hidden and difficult to trace. Therefore, it is necessary to provide an effective cross-border personnel identification scheme. Contents of the invention [0003] In view of the above problems, the present invention is proposed in order to provide a cross-border organization analysis method based on graph structure that overcomes the above problems or at least partially solves the above problems. [0004] In order to solve the above technic...

AI Technical Summary

Problems solved by technology

[0002] In view of the crimes of Chinese citizens leaving the country, there are frequent exchanges of people at home and abroad, and cross-border personnel and organizers are hidden in the crowd, which is difficult to find; and the online and digital means of payment have made cross-border illegal transfer of funds more hidden and difficult to trace.

Images