An influence drift index (IDI) and an influence stability index (ISI) of opinion leader nodes are proposed tocapture the dynamic growth trajectory of opinion leaders in the process of public opinion evolution. Themultidimensional features of user node...
An influence drift index (IDI) and an influence stability index (ISI) of opinion leader nodes are proposed tocapture the dynamic growth trajectory of opinion leaders in the process of public opinion evolution. Themultidimensional features of user nodes are extracted to construct the influence index, and the change amplitudeof the influence index in the time dimension is quantified, and this forms the basis for an influence index onlineevolution (INFOE) method. In this method, opinion leaders’ influence is regarded as the feature vector ofdynamic change. The IDI for the opinion leader-audience layer is established from the three dimensions ofcontribution degree, recognition degree and dissemination degree of opinion leaders. Second, fuzzy formalconcept analysis is used to establish the formal concept of opinion leaders and its poset to construct an ISI forthe opinion leader-audience layer. Finally, the fluctuation degree of the influence index of opinion leaders inthe evolution of public opinion content is quantified to realize the online evolution of this index. INFOE isverified and analyzed in this case. The empirical results show that the IDI reveals a certain correlation betweenthe influence index of opinion leaders and the heat of public opinion in the process of event evolution, whichcan be used to monitor the time node of public opinion outbreaks accurately. The ISI reflects the fuzzydependence of the influence index among opinion leader nodes, which provides a new theoretical explorationand research perspective for the multi-angle subdivision of opinion leaders.