Modeling information warfare in scale-free networks: analysis of propagation and counter-propagation dynamics
摘要
This study investigates the dynamics of information warfare within scale-free networks using the Barabási–Albert (BA) model. The proposed approach is an extended SIR-based model, incorporating literacy status and counter-propagation mechanisms, to represent real-world misinformation dynamics. We model information propagation and counter-propagation by assigning nodes literacy-based attributes (informed vs. unversed) that influence susceptibility and recovery. The network consists of 1000 nodes simulated across 100 iterations, where propagation is governed by transmission and reinfection probabilities, while counter-propagation promotes recovery. Simulation results show that in a defender-dominant state, defender accuracy reached 66.7%, whereas in an attacker-dominant state, attacker accuracy reached 81.9%. The findings highlight the critical role of literacy status in moderating misinformation spread and suggest strategies to improve defender effectiveness.