Topological Network-Based Information Diffusion Suppression Mechanism

Abstract

This paper investigates the design and implementation of a novel information diffusion suppression mechanism tailored for topological networks. Traditional information diffusion models often assume uniform network structures, failing to account for the inherent advantages offered by networks with specific topologies. This research proposes a strategy leveraging the structural properties of topological networks – namely, node connectivity and network paths – to mitigate the spread of malicious information. The core mechanism involves employing techniques such as node isolation and path reconstruction to disrupt the propagation of information, effectively limiting its reach. The proposed approach provides a new defense layer against information attacks, offering a more robust and adaptable solution compared to methods reliant on network homogeneity. Mathematical formulations are presented to describe the key processes involved, including information diffusion probability and the effectiveness of suppression strategies. The analysis demonstrates the potential of topological network structure to significantly enhance information security.