Time-Varying Spatial Memory Model and Its Impact on Virus Spreading

Figure 8

Ig (t) over time during rumor propagation on the network of ML, AD, IRP, and TSM models. The rumor propagation speed in the AD model drops slightly, and there is basically no impact on the spreading ranges. The IRP model has an obvious constraint on rumor spreading. In the TSM model, the propagation speed and range are further controlled. Subgraph is the comparison of rumor propagation results between the simulated network and actual mail network. , , , and , and the distribution of activity follows a power-law distribution with a power exponent of 2.8.