An Analysis Of Campus Intelligent Mobile Terminal On Netword Perception

The rapid development of the Internet and smart mobile terminals has greatly changed the way people live and work,and it has also gradually deepened people’s dependence on smart mobile terminals.As a result,much of human daily behavior information is stored in smart mobile terminals.Based on the intelligent mobile terminal,we can collect large-scale,multi-dimensional and long-term data to analyze data on human behavior.The smart mobile terminal brand is the value pillar and soul of a smart mobile terminal enterprise,and it is also the key for an enterprise to build market competitiveness.Whether a consumer chooses a brand will largely depend on the influence of the brand itself,as well as other users’evaluations and recommendations of the brand.Analyze the brand of smart mobile terminals held by campus users,study the brand preferences of campus users and the relationship between brand share and the popularity of network information,and make reasonable suggestions for smart mobile terminal manufacturers and launch more competitive products.Improving brand influence and market share has an important impact.This paper relies on the WiCloud data analysis platform,which is based on network-aware technology.We collect a large amount of smart mobile terminal data held by campus users through this platform.The analysis and research of these data are emphasized,and the main work of this paper is as follows:(1)Investigated related concepts and applications of network awareness,and learned related knowledge of WiCloud platform.The previous work of the laboratory shows that the data obtained by the WiCloud platform is comprehensive and valid,which can be used as the basic data set for the research content of this topic.(2)Based on the campus user data obtained from the WiCloud platform,the trend of campus users’ preferences for different smart mobile terminal brands over the three and a half years was analyzed.(3)Correlation between the share of smart mobile terminal brands and the popularity of information.First,crawler technology was used to obtain corporate behavior from 2015.6 to the 2018.12.through the detrended cross-correlation analysis(DCCA)method,DCCA coefficient method Sliding window analysis quantitatively analyzes the correlation between the brand share of intelligent mobile terminal on campus and the popularity of information.The three points forecast-based probing method(TPFP)explores the delay correlation between the brand share of campus smart mobile terminals and the popularity of information.As a result,the brand share of campus smart mobile terminals changes later than the popularity of information.