Research On Visualization Of Network MLM Cases Based On Knowledge Graph

In the Internet era,pyramid selling cases are increasingly rampant,causing serious economic losses to the victims,but also triggering various forms of illegal crimes,endangering social stability and causing great damage to the social order and economic system.Network pyramid selling cases are characterized by fast spread,large number of people involved and complex relationships.Traditional analysis methods can no longer meet the requirements of the public security organs for rapid strike and composite operations.This paper introduces the concept of knowledge graph into the fight against network pyramid selling crimes,and designs and develops a visual analysis system for network pyramid selling cases.Business investigators at all levels can edit personnel nodes and complex relationships in network pyramid selling cases with one click,so that the knowledge graph of network pyramid selling can be dynamically and directly manipulated to update.PageRank algorithm and Louvain algorithm are used to conduct influence analysis and community discovery on network MLM staff,and the results are presented visually.The main work and innovation of this paper are as follows:Firstly,based on the knowledge graph construction technology,the nodes,relationships and attributes of network pyramid selling cases are extracted from the structured data obtained from the front-line public security investigation,and the knowledge graph of network pyramid selling cases is constructed and stored in the Neo4 j database,which is good at dealing with complex relationships.Secondly,according to the need of investigators to constantly update the knowledge graph of network pyramid selling cases,according to the concept of what you see is what you get,the visual analysis system of network pyramid selling cases is designed,and a friendly humancomputer interaction interface is built according to the visual model of Card.With a three-layer architecture,combined with HTML,j Query,Zrender,Java and other development technologies,the development of a visual analysis system for network pyramid selling cases was completed,enabling investigators to visually edit knowledge graph.Finally,PageRank algorithm and Louvain algorithm are introduced into the visual analysis system of network pyramid selling cases.Two algorithms are used to analyze the nodes in the knowledge graph for influence analysis and community discovery classification,and the visual analysis and classification results are integrated with this system to achieve a better visual effect,provide the direction of investigation for the public security organs,and realize the investigation mode of "from person to case".