Abstract
Abstract: The variety of communications under social hot topics has a significant impact on user engagement behaviour in network public opinion study. This article suggests a prediction model of user participation behaviour during repeated messaging of trending social issues, taking into account interactions between numerous messages and complicated user behaviours. A multimessage interaction influence-driving method was first presented to better precisely forecast user involvement behaviour by taking into account the impact of multimessage interaction on user participation behaviour. Second, this study proposes a user participant behaviour prediction model of social hotspots based on a multimessage interaction-driving mechanism and the BP neural network. This is done in light of the behavioural complexity of users participating in multimessage hotspots and the simple structure of backpropagation (BP) neural networks (which can map complex nonlinear relationships).
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call