The Research Of Game Communication Mechanism Based On Complex Network

With the rapid development of network,a variety of network platforms and game events are emerged.Now,the influence of games on people's life is growing fast.In particular,the emergence of smart phones make the mobile games are widely spread.Therefore,it is very important to put forward the effective and feasible management method for the spread of the game,which will help to build a better game environment and make the game better serve the human beings.In this paper,the game communication model is established according to the basic knowledge of complex network and its propagation dynamics theory,and the dynamic analysis is carried out.Firstly,we classify people to different kinds basing on the degree of people addicted to a game according to the theory of epidemic spreading,and then,construct its dynamic model.The equilibrium point of the model and the existence of the positive equilibrium are obtained by qualitative analysis.The number of people in the game and the threshold value0 R of the game are derived when the game is spread to the stable state.In the case of0R(29)1,the asymptotic stability of the positive equilibrium point is proved,which shows that the game will continue to spread and form some of the people becoming addicts;On the contrary,the game will not be spread.Through simulation,the influence of different parameters on the communication of the game is analyzed,which provides a reasonable explanation for how to control the game more effectively.Secondly,in order to make the study of the game more close to the real life and understand the spread of the game in different network topology.We study the propagation threshold under the background of uniform and non-uniform networks when the game is spread to the stable state according to the established game propagation model.At the time ofc?(29)?,the game will spread.Otherwise,at that time ofc?(27)?,the game will not spread and eventually disappear.Through the simulation and study on the parameters affecting the threshold value of the game,we get an effective way to control the game in different environments.