An Online Review Research Based on Opinion Dynamics Model

Zizhan Lin, Jinlian Zhou, Ye Wu, Jinghua Xiao


Due to the rapid growth of Internet, consumers obtain information about products and experiences from online rating platforms, which further influences their purchase decisions. Considering the differences in the opinion interaction pattern, traditional opinion dynamics models cannot explain individual review behaviors. In order to explore the evolution process of opinions on the online review platform, we optimized the network structure and confidence thresholds of traditional models based on the collected data from Dianping, and created an opinion dynamics model for online rating platforms. The proposed method can advance the understanding for the evolution process of online opinion. 


Complex Network; Opinion Dynamics; Hegselmann-Krause Model; Online Review; Opinion Evolution

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