Turing pattern analysis of a reaction-diffusion rumor propagation system with time delay in both network and non-network environments

In our modern world, the invention of Internet enables information as well as rumors to spread in an unprecedented speed. To investigate the spatio-temporal dynamics of rumor propagation, we propose a reaction-diffusion rumor spreading system with time delay as well as its variation on complex network models. Necessary conditions of the rumor-spreading equilibrium point and both diffusion and delay in-duced Turing bifurcation around the rumor-spreading equilibrium point are analysed. We further conduct mass numerical simulations on various network structures and non-networks models. The effects of con-stant and periodic diffusion terms as well as different incidence coefficients on the shapes of patterns are explored. Moreover, a type of spiral patterns on 'LA4' and 'LA12' networks with large time delay are discovered. Finally, we collect real data of information propagation on twitter, and determine values of parameters in our model to make fitting. The fitting curve matches real data well, which implies the validity of our model. (c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

The research focuses on the spatio-temporal dynamics of rumor propagation, proposing a reaction-diffusion rumor spreading system and conducting numerical simulations. The effects of diffusion and delay on the shapes of patterns are explored, leading to the discovery of spiral patterns. The validity of the model is verified through fitting with real data.