超网络中的舆情传播模型及仿真研究*

现实中，个体受到来自不同社会关系网络中所有邻居的信息传播的影响。引入超网络刻画个体的复杂社交关系，基于传染病学建模的思想，模拟超网络中的舆情传播过程。对比分析舆情在超网络和复杂网络结构下的传播过程。当超网络的结构参数取特定值时，模型可以退化为复杂网络模型。进一步，测试超网络结构参数、传播率、恢复率及初始传播节点对舆情传播的影响。探讨舆情的传播时间和波及范围，进而揭示网络舆情的传播规律。

The Spreading Model and Simulation Analysis of Internet Public Opinion in Hypernetworks

In reality, individuals are affected by all the neighbors in different social networks with the spreading of information. The paper introduces the concept of hypernetwork to depict complex social relations among individuals. Based on infectious disease model, the simulations of public opinion propagation are performed. In the simulations, the public opinion propagation in hypernework and complex network are compared. When the structure parameters of hypernetwork are setting to special values, the model can degenerate into a complex network model. Furthermore, the effects of structure parameters of hypernetwork, transmission rate, recovery rate and the initial infectious nodes are also discussed. The public opinion propagation time and extent can reveal the overall trend of the spreading of public opinion.