基于复杂网络理论的微博营销研究综述毕业论文外文翻译

基于复杂网络理论的微博营销研究综述毕业论文外文翻译内容摘要：

n, and scalefree characteristics. The existing literature analyzing microbloging marketing by the plex work theory is less, which is worth further study. The Microblogging Marketing Concept in the Evoluting Complex Network Theory The plex work theory had been evoluted from the smallworld scalefree model to some major models such as the epidemic model and game model. The diffusion behavior study on these evolutionary plex work models is valuable and can reveal the spread of microblogging marketing concept in depth. Epidemic Model Epidemic model divides the crowd into three basic types: susceptible (S), infected (I), and removed (R), and build models according to the relationship among different types during the disease spread in order to analyze the disease transmission rate, infection level, and infection threshold to control the disease. Typical epidemic models are the SIR model and the SIS model. Differences lie in that the infected (I) in the SIR model bees the removed (R) after recovery, so the SIR model is used for immunizable diseases while the infected (I) in the SIS model has no immunity and only bees the susceptible (S) after recovery. Therefore, the SIS model is used for unimmunizable diseases. These two models developed other epidemic model: SIR model changes to SIRS model when the removed (R) has been the susceptible (S)。 SIS model changes to SI model presenting the disease outbreaks in a short time when the infected (I) is incurable. Epidemic model can be widely seen in the plex work, such as the dissemination of puter virus , information , knowledge. Guimer224。 et al. finds the hierarchical and munity structure in the social work. Due to the hierarchical structure, Barth233。 lemy et al. indicate that the disease outbreak followed hierarchical dissemination from the largenode degree group to the smallnode degree group. Due to the munity structure, Liu et al. indicate the munity structure has a lower threshold and greater steadystate density of infection, and is in favor of the infection。 Fu finds that the real interpersonal social work has a positive correlation of the node degree distribution, but the real interpersonal social work has negative. The former expresses circles can be formed in celebrities except grassroots, but the latter expresses contacts can be formed in celebrities and grassroots on the microblog. Game Model The game theory bined with the plex work theory can explain the interpersonal microlevel interaction such as tweet release, reply, and retweet. because it can analyze the plex dynamic process between individuals such as the game learning model, dynamic evolutionary game model, local interaction model, etc.(1) Game learning model: Individuals make the best decision by learning from others in the work. Learning is a critical point to decisionmaking and game behavior, and equilibrium is the longterm process of seeking the optimal results by irrational individuals. Bala and Goyal draw the “neighbor effect” showing the optimal decisionmaking process based on the historical information from individuals and neighbors. (2) Dynamic evolutionary game model: The formation of the social work seems to be a dynamic oute due to the strategic choice behavior between edgebreaking and edgeconnecting based on the individual evolutionary game. Fu et al. add reputation to the dynamic evolutionary game model and find individuals are more inclined to cooperate with reputable individuals in order to form a stable reputationbased work. (3) Local interaction model: Local work information dissemination model based on the strong interactivity in local munity is more practical to munity microblogging marketing. Li et al. restrain preferential connection mechanism in a local world and propose the local world evolutionary work model. Burke et al. construct a local interaction model and find individual behavior presents the coexistence of local consistency and global decentrality. Generally speaking, microblog has characteristics of the smallworld, scalefree, high clustering coefficient, short average path length, hierarchical structure, munity structure, and node degree distribution of positive and negative correlation. On one hand, the epidemic model offers the viral marketing principles to microb。