Abstract
Modelling the behaviour of online social network users’ opinion propagation is of great significance. This paper proposes a method with individual’s own characteristics to model the opinion propagation in homogeneous network. We firstly described the detail of propagation model construction steps including opinion interaction rules, cumulative interaction influence value normalization and historical impact. Then we introduce the definition of individual tolerance to better model propagation. We conducted simulation experiments on two representative propagation networks: ER random network and BA scale-free network. In the end, we give the phenomena and explanation of each simulation result from three aspects.
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