Method for establishing rumor propagation model considering emotion and information popularity driving

Abstract

The application discloses a rumor propagation model establishment method considering emotional and information popularity driving, and relates to the technical field of social network modeling and analysis. The application aims at the phenomenon of spreading rumors in online social networks by using audience emotions and information pressure, combines micro node emotional driving force and macro information popularity driving force to construct the cooperative propagation probability of nodes, and establishes a rumor propagation model considering user micro emotions and topic popularity by means of emotion analysis, rumor evolution and node contribution degree measurement theories. The application overcomes the problem that the past rumor propagation model only considers group node propagation probability and ignores the synergistic effect of macro and micro levels, thereby simulating a more realistic rumor propagation process, which is beneficial to subsequent rumor propagation form prediction and research on propagation blocking mechanism.

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