Misinformation spreading on correlated multiplex networks

Abstract

The numerous expanding online social networks offer fast channels for misinformation spreading, which could have a serious impact on socioeconomic systems. Researchers across multiple areas have paid attention to this issue with a view of addressing it. However, no systematical theoretical study has been performed to date on observing misinformation spreading on correlated multiplex networks. In this study, we propose a multiplex network-based misinformation spreading model, considering the fact that each individual can obtain misinformation from multiple platforms. Subsequently, we develop a heterogeneous edge-base compartmental theory to comprehend the spreading dynamics of our proposed model. In addition, we establish an analytical method based on stability analysis to obtain the misinformation outbreak threshold. On the basis of these theories, we finally analyze the influence of different dynamical and structural parameters on the misinformation spreading dynamics. Results show that the misinformation outbreak size $R(\infty )$ grows continuously with the effective transmission probability $\beta$ once $\beta$ exceeds a certain value, that is, the outbreak threshold ${\beta }_c$. A large average degrees, strong degree heterogeneity, or positive inter-layer correlation will reduce ${\beta }_c$, accelerating the outbreak of misinformation. Besides, increasing the degree heterogeneity or a more positive inter-layer correlation will both enlarge (reduce) $R(\infty )$ for small (large) values of $\beta$. Our systematic theoretical analysis results agree well with the numerical simulation results. Our proposed model and accurate theoretical analysis will serve as a useful framework to understand and predict the spreading dynamics of misinformation on multiplex networks, and thereby pave the way to address this serious issue.

References in corpus (30)

• Statistical physics of social dynamics
• The science of fake news
• Epidemic processes in complex networks
• Multilayer Networks
• The structure and dynamics of multilayer networks
• The spread of low-credibility content by social bots
• Dynamics of Rumor Spreading in Complex Networks
• Epidemic dynamics on an adaptive network
• Evolutionary games on multilayer networks: A colloquium
• Generation of uncorrelated random scale-free networks
• Influence of fake news in Twitter during the 2016 US presidential election
• The physics of spreading processes in multilayer networks
• Universal behavior in a generalized model of contagion
• Unification of theoretical approaches for epidemic spreading on complex networks
• Epidemic spreading on interconnected networks
• Optimal interdependence between networks for the evolution of cooperation
• Edge-Based Compartmental Modeling for Infectious Disease Spread Part I: An Overview
• Degree mixing in multilayer networks impedes the evolution of cooperation
• Fundamentals of spreading processes in single and multilayer complex networks
• Epidemic threshold for the SIS model on networks
• Effect of the Interconnected Network Structure on the Epidemic Threshold
• Correlated multiplexity and connectivity of multiplex random networks
• Dynamics of social contagions with memory of non-redundant information
• Intermittent social distancing strategy for epidemic control
• Optimal interlayer structure for promoting spreading of SIS model in two-layer networks
• Social contagions with communication channels alternation on multiplex networks
• Temporal percolation of the susceptible network in an epidemic spreading
• Lower bound of assortativity coefficient in scale-free networks
• Temporal percolation of a susceptible adaptive network
• Bounds of memory strength for power-law series

Cited by in corpus (3)

• A generalized linear threshold model for an improved description of the spreading dynamics
• Containing rumors spreading on correlated multiplex networks
• The optimal edge for containing the spreading of SIS model