The Research Of Tripartite Game On Network Cheaters

Since September 2012, network malicious attacks have appeared in the social network such as Sina. They posted a lot of malicious articles to make negative influence to some companies, called network violence and obtained illegal interests from them. This paper defined three different groups and their roles respectively involved in the network malicious attacks:manager, attacker and network users, aimed at revealing the influence between each other when they make choices. Before building the tripartite game, at first, this paper divide the network users into bounded rational users and irrational users according to the rational degree, analize the influence between two bounded rational users when they make choices and the irrational users’affection in this process. The result shows that factors such as participation of irrational users and degree of the coincidence in a network have an influence on bounded users’ making choice. Therefore, introducing the above conclusion into tripartite game research according to network malicious attack, building the income-risk matrix based on the analysis of factors that the game members consider when making decisions. Besides, taking the consideration of impact that irrational users bring on the dissemination of information. according to the game model, the replicated dynamic equation and evolutionary stable strategy can be worked out, as well as the relationship between parameters set before and the three members making decisions factors:the probality of network users ont believe in a topic, each cost of manage or not confliction between ordinary users and the cost to manage irrational users related to manager’s making choice consideration. Factors that affact attacters making choice are probability of manager taking measures, payment from employers, cost of making hot topics and punishment from manager. The factors that influence bounded rational users; making choice are probability of supersion, lost coused by rumor, reward from helping manager. Then, how to make the optimum choice in different parameters state are discussed. To optimize the network management, at the end of this paper, giving the strategy about how to adjust each parameter and the practice meaning of the measures. Furthermore, making suggestions to both government departments and the social networks such as sina.