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    基于復雜網絡的SIR模型擴展與應用分析.pdf 47頁

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    • 上傳作者 hp20083(上傳創作收益人)
    • 發布時間:2019-08-06
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    Abstract Abstract In the real world ,many complex systems can be abstracted as complex networks to analyze and research. The universal method is to extract the main features of the studied network and build the corresponding network model. Combined with the interdiscipline, the rules of network evolutionary process as well the relationship between the structure and the function of complex network and are studied. The multiple forms of communication phenomenon on the complex network can be regarded as the propagation behavior that follows approximately a certain rule. The actual complex network system has many elements and complicated organization structure, which makes the propagation laws of information on the network complicated. As a result, there is urgent to construct the reasonable complex network model and the information dissemination model to explain the law of the network communication and solve relevant problems. This dissertation mainly focuses on the research of epidemic disease spreading model on the complex network and the rumor spreading model on the social network .The contents are as follows: Firstly, several basic static statistical characteristics parameters of the complex network are introduced. Some kinds of classic network models and their characteristic parameters are also described in detail. Moreover, different models of disease transmission and rumor spreading on the complex network are compared in this dissertation. Secondly, for the deficiency of the epidemic propagation models lacking of multiple infections stages, referring to the characteristics of two traditional propagation models including SIR and SEIR, an improved SIR epidemic propagation model with multi-infectious stages

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