An inherent property-based rumor dissemination model in online social networks

Rumor propagation is an important issue in online social networks (OSNs), while modelling rumor propagation is critical and challenging. Existing studies are restrictive for unrealistic assumptions. We find that the inherent property of a rumor has determinant impact on propagation dynamics, and rumor propagates across different clustered communities with variable transmissibility. In this letter, we formulate the problem using information theory and establish a rigorous two layer epidemic model. As a result, the proposed model reflects the studied subject better than the previous models. Extensive experiments have been conducted through real-world twitter dataset, the results confirm our theoretical findings, and demonstrate that the proposed model outperforms the existing ones.