时序网络视角下网络舆情的演化模型研究

随着对社交媒体的研究深入,平台用户之间的社会关系网络为动态的时序网络逐步得到认同。为了对比并分析时序网络下舆情扩散的过程和结果,采用计算机仿真的分析方法,通过构建时序网络,并采用SIR模型作为舆情扩散的信息扩散模型。多智能体仿真结果表明,舆情扩散结果的不确定性一方面来自于时序网络的复杂网络结构和信息扩散模型,而另一方面则是源于将用户之间的社会关系网络看作是静态网络。通过参数分析确定了提高舆情扩散的思路和方向。

Research on Evolution Model of Online Public Opinion Based on Temporal Network

With the in-depth study on the social medias, the social networks of online platforms are recognized gradually as the time-varying temporal networks. In order to compare and analyze the information diffusion process and the result, the analysis method of computer simulations is adopted, a temporal network is generated, and the SIR model is used as the online public opinion diffusion model. The simulation results based on multi-agent approach show that the uncertainty of information diffusion on the social platforms comes from the complicated structure of the temporal networks and the SIR model. In addition, the misunderstanding of the social networks being static also overestimates the information diffusion.Some managerial insights are proposed through the parameters analysis.