基于超网络的舆论演化动态模型

针对舆论演化过程中的复杂动力学问题,提出了超网络视觉下的舆论演化动态模型,该模型包括节点的添加、重新连接链路、超边的添加以及节点的老化4个过程,其中节点代表关键词,超边代表关键词所构成的话题。其次,利用非均匀网络的演化机制,分别对该动态演化模型的超度、节点自身关注度与节点间影响力两个因素的超度进行了详细的理论分析,分析结果表明节点超度完全符合幂律分布。最后,通过Matlab仿真模拟,分析了不同参数对节点超度分布变化的影响,并进一步验证了结果是遵循幂律分布的。

Dynamic Model of Public Opinion Evolution Based on Hyper-network

Aiming at the complex dynamics problem in the evolution process of public opinion,this paper proposes a dynamic evolution model of public opinion under the vision of hyper-network.The model includes four processes:nodes addition,reconnection link,hyperedges addition and nodes aging,where node represents keywords and hyperedge represents topic of keywords.Secondly,by using the evolution mechanism of non-uniform network,a detailed theoretical analysis is carried out on the deviation of the dynamic evolution model,the deviation of the attention of nodes itself and the influence between nodes.The analysis results show that the deviation of nodes fully conforms to the power law distribution.Finally,the influence of different parameters on the variation of the node hyperdegree distribution is analyzed by MATLAB simulation,and the result is further verified to be power law distribution.