网络舆情场中信息受众观点群落的连接鲁棒性测度及实证研究

摘要

By measuring the robustness formed due to the differences of public opinion views,this paper provides a practical operation scheme for identifying and locating the would-be polarized public,as well as preventing mass incidents.Based on a complex network survivability analysis,the core nodes within the community audience are deleted,and the differences between the audience,prior to influence by an emotional spread function,and after the influence,are compared.The network density index is also introduced in this paper.The availability of the robustness measurement makes this paper a practical guide for taking precautions against a polarized audience.%论文通过测度网络舆情场内受众由观点异同所形成的群落连接鲁棒性,为识别定位濒临极化群体、预先化解群体性事件提供可操作方案.基于复杂网络科学的抗毁性分析思路,通过删除受众群落内的核心节点,对比前后群落的受众情感传播功能差异,并引入网络密度指标量化差异,以此达到受众群落连接鲁棒性测度目的.连接鲁棒性测度方法便于操作,能够在一定程度上满足网络舆情受众群体极化预警的实践需要.