Analysis and Prediction Using Multiple Platform Hub Model and Centralized Network Management Algorithm (CNMA)

Abstract

The system aims to collect data on user behaviour and preferences on various social media platforms such as Instagram and Twitter. The aim is to determine influential users and increase engagement. In contrast to conventional methods that focus on a single platform at a time, the Multiple Platform Hub and Authority Topic (MPHAT) model provides an overall view of users by examining their connections, interests, and favourite networks. The MPHAT model seeks to bring less prominent users into the limelight by overcoming limitations within recommendation systems that benefit popular users. It makes online traffic estimates based on platform-specific posts and user preferences. Furthermore, the MPHAT model excels over conventional techniques such as LDA in topic understanding, influence prediction, and user behaviour prediction. The centralized network management algorithm (CNMA) facilitates smooth integration and processing of user data within various networks.