SEIOR Rumor Propagation Model Considering Hesitating Mechanism and Different Rumor-Refuting Ways in Complex Networks

Considering that the state transfer rules between nodes in existing rumor propagation models are mostly based on a single mechanism, and most of have way refuting rumors, this paper, new SEIOR model (ignorant (S), hesitators (E), spreaders (I), debunkers (O), immunizers (R)) is proposed by introducing combining different rumor-refuting ways debunkers. Firstly, dynamics process described using mean-field equations. Secondly, equilibrium point basic regeneration number solved, existence stability discussed. Then, numerical simulations used to analyze effects factors patterns. The results show rumor-spreading rate α2 has greatest effect propagation. With increase α2, degree influence hesitator-converting α1 scale first increases then decreases. Different inhibiting spread rumors. Finally, theoretical proving analysis, some targeted measures control rumors proposed.