A Human Flesh Search Model Based on Multiple Effects

Abstract

A new model of human flesh search (HFS) was established based on the susceptible-infected-susceptible model (SIS model) and susceptible-infected-recovered model (SIR model). Four effects - impulsive effect, hot effect, herd effect and coupling effect - were proposed. In addition, the corresponding influence was investigated in the process of HFS. The results show that the impulse effect is the major factor at the early stage of propagation, and the hot effect and the herding effect play a major role at the mid-propagation. Furthermore, the coupling effect indicates that the spreading of one information fragment would be influenced by others. Moreover, the dynamic propagation rate and dynamic recovery rate were introduced; they are different from the propagation probability and recovery probability of the classical model. The propagation properties of the new model were then analyzed, and numerical simulations were performed on the small-world networks and the scale-free networks. At the same time, the validity of the new model was verified through the comparative experiment between the simulation of the proposed model and real case.