Analysis and modeling of rumor spreading in social networks using status transmission mechanisms.

The article focuses on the development and evaluation of the ILSHR (Ignorant–Lurker–Spreader–Hibernator–Removal) rumor spreading model, which integrates features from existing models to better capture the dynamics of rumor propagation in social networks. Unlike classical epidemic-based models such as SIR (Susceptible-Infected-Removed), ILSHR incorporates user heterogeneity and network topology by categorizing individuals into five groups and applying a degree-based state transition mechanism. Numerical simulations on various complex networks—including Regular, Watts-Strogatz (WS), and Barabási–Albert (BA) scale-free networks—demonstrate that ILSHR more accurately reflects rumor spreading patterns by considering both individual differences and network structure. The study suggests that ILSHR provides a more realistic framework for analyzing rumor dynamics, which could inform future strategies for rumor control on social platforms.