The Users Behavior Analysis Of The Music APP Transmission And Promotion In Social Platform

In recent years,the social networking developed rapidly and social platform have huge user traffic.All the people in the age of social networking,the number of users sharing applications messages is increasing.Now in the social platform to share the application is gradually replacing the traditional advertising and marketing,and sometimes it can determine the success or failure of an APP.Therefore,in the background of rapid development and intense competition of music application,this paper starts from Weibo,the mainstream social networking platform,and puts forward that music application developers can use Weibo to promote music APP effectively.This paper introduces the status of Weibo and music APP,social platform data acquisition technology and user behavior dynamics theory.And analyzes the influencing factors of Weibo users' sharing application behavior,finds the user characteristics which influence them,then according to the analysis,constructs the user selection behavior model.And demonstrates the model through path analysis and user interest driving theory.The model verified is based on the collected data.The application of developers can control the impact of factors to achieve the promotion of music APP.This article overcomes the limitation of Sina Weibo,and obtains the user characteristics needed by research through web crawler and API interface.The key to the promotion of music APP is to enhance the behavior of user to share application news.Therefore,the influencing factors of user sharing music APP behavior are divided into two parts,these are the influencing factors of user sharing time interval and the influence of Weibo attention Factor,using SPSS for correlation analysis and statistical analysis to find possible factors.Based on the analysis of the influencing factors,this paper puts forward the model of user choice behavior of APP platform,analyzes the Weibo attention factor chain through the AMOS.The number of concerns will have a positive impact on the user's sharing behavior.This paper reveals the relationship between user behavior and message sharing,and provides a reference for the future study of user behavior of social platform,and provides suggestions for music developers to promote the operation.