Research On Privacy Information Disclosure Behavior In LBSNS Based On Evolutionary Game

With the development of mobile communication technology and the popularity of mobile intelligent terminal, mobile Internet has deeply influenced the human’s social behavior and common life. As a segment market of mobile Internet, LBS is one of the most promising new business.In particular, Location-based social networking service(LBSNS) has a great commercial and practical value. But In LBSNS environment, more and more users’ privacy information are disclosred or transacted, which is detrimental to the healthy development of LBSNS. Research on the influence factors of users’ privacy concerns and privacy disclosure behavior will become critical. In addition, Users want to own the right of privacy controlling, while the internet service providers wish for users’ privacy in order to gain more profit, the same as the other interested parties. Therefore, this research has important practical significance. And we apply the game theory in economics to the research of social network, which extends the research field of evolutionary game theory, and enriches the research methods of social network.The specific research contents are as follows:First, this paper combines previous studies with new research hotspots and sets up a model of factors that influence privacy concern and privacy disclosure behavior.Then we make an empirical analysis based on the method of structural equation model. Second, this paper proposes an evolutionary game model which contains users and LBSNS service providers. Then we carry a game analysis of the relationship between the LBSNS users and service providers about privacy interests by using the evolutionary game theory, and obtain some relevant policy suggestions.The innovation points in this research are as follows: First, we set up the influence factors model of LBSNS users’ privacy concerns and privacy disclosure behavior.And we find the influence factor of LBSNS user privacy concerns by empirical analysis. Second, we construct an evolutionary game model of privacy behavior between users and service providers. Finally, the relevant policy suggestions are put forward.