A Study On The Dynamic Influence And Behavior Regularities Of User’Privacy Concern About Social Network

Along with the development of the Internet and mobile Internet, human’s social behaviors have been deeply influenced. People are more easily to be exposed to a net environment. Therefore, privacy threat has become been a very crucial issue which is related to the interest of every consumer consumers. Gradually, an even increasing amount of Privacy has been unavoidablyrevealed by accident or by malice, especially under the effect of intelligent terminal, service application and network association. Users want to own the right of privacy controlling, while the internet application providers wish for users’privacy in order to gain more profit, the same as the other interested parties. As we can see, it is significant to do deep researches in the area of privacy.The concept of privacy has the attribute of human society, so the research of privacy can be rely on social network. The appearance of social network provides a very good environment for privacy researching. It not only has the scale of users, interrelation, complex construction, behavior rules which are nearly the same as the real society, but also owns the characteristics of accessibility, analyzability and verifiability which cannot be get in the real society. Thus, taken social network as the research object, this paper focuses on the factors that influence privacy concerns and the behavior rules which are related to privacy concerns. The specific research contents are as follows:(i)Research on Dynamic Factors that Influence Privacy Concern of-Social Network.Researches on factors that influence privacy concern before are mainly based on static factors, but with the increase of the number and frequency of social activities, privacy awareness is more likely to be aware. Particularly when some great negative events are faced by users, they will strengthen the judgment of privacy threats. Based on-this background, this paper combines classic theory with new research hotspots and sets up a model of factors that influence privacy concern from the view of dynamic. Taking the direct and indirect influence, different features in different kinds of social networks into consideration, the author found out that emergency and media exposure do great impact on users’privacy concerns. After comparing different kinds of social networks (emotional, instrumental, uncorrelated, mixed), the author findsfigured out that the results are quite different toward different websites. Among them, Sina Weibo, which represents mixed websites, obtains the best result in users’characteristics of social activity. So the following research on behavior rules will rely on the platform of Sina Weibo.(ii)Evolutionary Game Research on Privacy Behaviors based on Profit-Driven in Social Network.Researches on privacy paradox before mainly focus on immediate interest, but in the environment of social network, people’s pattern of social behaviors is likely to last longer and strategies are mostly in long-term. Therefore, this paper proposes an evolutionary game which contains users and website service providers. Consulting the above results that explained the users’interest perception and its effect on behavior and former researches on cost and profit, the author sets up a privacy evolution game model through constructing a pay-off matrix and group replication dynamic equation. Moreover, the author adds the factor of emergency and adjusts the game model, further gets results that are in different conditions. We can clearly obtain the evolutionary rules by combining with the simulation experiment. At last, through comparing the results in different groups, we pointed out the significant evolutionary rules in privacy interests which can be good advices to website service providers, stakeholders, media and supervisors, in order to protect the interests of consumers and maximize social benefits. Follow-up study will test the conclusion which is drawn in this part by observing in the real social network environment. The results will be more significant in practicalness. In addition, the next part will deeply analyze the evolutionary rules of users’privacy behaviors in micro-level, based on macro-level rules from this part.(iii)Research on Users’Behavior Rules in the Condition of Dynamic Privacy Concern in Social Network.There have been a lot of researches on users’behavior rules in complex network. The research methods are already mature, but users’ behavior rules with privacy are immature now. In recent years, privacy researches are imperative because of the rapid development of web applications which may cause privacy disclosure. This research mainly focuses on classic LBS applications. Via the cooperation with Sina Weibo, we obtain the rules of privacy behaviors and business adoption diffusion, as well as the effect rules of how emergencies affect privacy behaviors by analyzing a lot of privacy information through social network analysis methods and data processing softwares. Finally, by summarizing the above research results, the author proposes some suggestions on development of social network, privacy business application, strategies on privacy supervision, strategies on privacy safety etc. according to the privacy behavior rules in social network.The innovation points in this research are as follows.(1) We set a model of dynamic factors that influence privacy concerns in social network. We select emergency and media exposure to be main factors, and observe the change of users’privacy concern in a dynamic environment, as well as compare the influence extent of different factors from both personal view and group view. Then we discuss different results from different social networks and find out the effect rules of users’ privacy concerns in social network;(2) An evolutionary game model under the influence of emergencies in social network is set. Considering that under the disturbance of emergency, the users’group and the website service providers’group will choose different interest strategies, so that we can gain an evolutionary rule of users’choices and behavioral mutation. On this account, we can discuss how different strategies from diverse groups will promote the development of social network;(3) explore behavior rules of privacy business adoption in social network. We gain data from the latest and the most classic LBS application which featured in privacy attribute through Sina Weibo. Through analysis method in social network, we find out privacy-related emergencies will affect the privacy business adoption rules.