Rumor propagation with heterogeneous transmission in social networks

Abstract

Rumor models consider that information transmission occurs with the same probability between each pair of nodes. However, this assumption is not observed in social networks, which contain influential spreaders. To overcome this limitation, we assume that central individuals have a higher capacity of convincing their neighbors than peripheral subjects. By extensive numerical simulations we find that the spreading is improved in scale-free networks when the transmission probability is proportional to PageRank, degree, and betweenness centrality. In addition, the results suggest that the spreading can be controlled by adjusting the transmission probabilities of the most central nodes. Our results provide a conceptual framework for understanding the interplay between rumor propagation and heterogeneous transmission in social networks.

arXiv comment13 pages, 8 figures

References in corpus (20)

• Emergence of scaling in random networks
• Epidemic spreading in scale-free networks
• Statistical physics of social dynamics
• Epidemic processes in complex networks
• Identification of influential spreaders in complex networks
• Multilayer Networks
• The structure and dynamics of multilayer networks
• Characterization of complex networks: A survey of measurements
• Self-similar community structure in organisations
• Influence maximization in complex networks through optimal percolation
• Dynamics of Rumor Spreading in Complex Networks
• Adaptive Coevolutionary Networks: A Review
• Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
• Theory of Rumour Spreading in Complex Social Networks
• Explosive Synchronization Transitions in Scale-free Networks
• Critical behavior of propagation on small-world networks
• Searching for superspreaders of information in real-world social media
• Crossover from Scale-Free to Spatial Networks
• Traffic-driven Epidemic Spreading in Finite-size Scale-Free Networks
• Emergence of influential spreaders in modified rumor models

Cited by in corpus (6)

• A cost-effective rumor-containing strategy
• The Impact of Social Curiosity on Information Spreading on Networks
• Controversy-seeking fuels rumor-telling activity in polarized opinion networks
• From spatio-temporal data to chronological networks: An application to wildfire analysis
• Bi-layer voter model: Modeling intolerant/tolerant positions and bots in opinion dynamics
• Complex social contagion induces bistability on multiplex networks