基于复杂网络的游戏传播机制的研究
[Abstract]:With the rapid development of the network and the emergence of various live broadcast platforms and e-sports games, online games have a greater and greater impact on people's lives, especially the emergence of smart phones, which makes mobile games more and more popular. Therefore, it is very important to put forward effective and feasible management methods for the spread of games, which will help to establish a better game environment and make games serve human beings better. In this paper, according to the basic knowledge of complex network and its propagation dynamics theory, the mathematical model of game propagation is established, and the dynamics analysis is carried out. First of all, according to the theory of epidemic communication, according to the degree of people indulging in a game, we classify it, and construct the dynamic model of game communication. The existence of equilibrium point and positive equilibrium point of the model is studied qualitatively. It is concluded that when the game spread reaches a stable state, the number of all kinds of people and the threshold of game spread are 0R. It is proved that the positive equilibrium point is asymptotically stable when 10R (29). Indicates that the game will continue to spread and some people indulge in the game; on the contrary, when 0R (27) 1, the game will not spread. Through simulation, the influence of different parameters on game propagation is analyzed, which provides a reasonable explanation for how to control and manage the game more effectively. Secondly, in order to make the research of game communication closer to real life, the communication of games under different network topologies is analyzed. According to the established mathematical model of game propagation, this paper aims at the propagation threshold c when the game propagation reaches steady state under uniform network and non-uniform network, respectively. Carries on the research, obtains when the game infection rate c29? The game will spread; on the contrary, when c? (27)? The game will not spread and eventually disappear. Through the simulation analysis and the influence of the game propagation threshold c? Based on the study of the parameters of the game, the effective methods of controlling and managing the game in different environments are obtained.
【学位授予单位】:江苏大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:O157.5
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