In - Depth Research on User Profiles in Securities Companies Under the Digital Background

Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.