Charging model and application of personal data under Internet background

In this big data era, personal information and privacy protection sound no longer unfamiliar to us. From using all sorts of computational software and online platforms, registering and using vast amount of social medias in everyday life, to conducting high-technical science researches and national statistical census, people's social announcements, purchase records, health data, daily commutes, career movements, financial status and even personal relationships are enough to constitute a complex and massive data network. Analytic hierarchy process dynamic model; Pricing mechanism and transaction mechanism are used in this paper. Based on the comprehensive consideration of social science theories such as microeconomics and macroeconomics, the pricing structure and bargaining range of privacy information are formulated firstly. Then a discrete choice model with time and dynamic factors is formulated. Secondly, the price trends of different age and occupation analysis models are considered. Thirdly, the social model is improved because the social network is highly correlated. Then use panel data to verify the model, and finally put forward relevant policy recommendations.