Containing misinformation spreading in temporal social networks
arXiv:1904.10801 · doi:10.1063/1.5114853
Abstract
Many researchers from a variety of fields including computer science, network science and mathematics have focused on how to contain the outbreaks of Internet misinformation that threaten social systems and undermine societal health. Most research on this topic treats the connections among individuals as static, but these connections change in time, and thus social networks are also temporal networks. Currently there is no theoretical approach to the problem of containing misinformation outbreaks in temporal networks. We thus propose a misinformation spreading model for temporal networks and describe it using a new theoretical approach. We propose a heuristic-containing (HC) strategy based on optimizing final outbreak size that outperforms simplified strategies such as those that are random-containing (RC) and targeted-containing (TC). We verify the effectiveness of our HC strategy on both artificial and real-world networks by performing extensive numerical simulations and theoretical analyses. We find that the HC strategy greatly increases the outbreak threshold and decreases the final outbreak threshold.
arXiv comment22 pages, 9 figures
References in corpus (37)
- Statistical physics of social dynamics
- Epidemic processes in complex networks
- Identification of influential spreaders in complex networks
- Temporal Networks
- Influence maximization in complex networks through optimal percolation
- Vital nodes identification in complex networks
- Dynamical interplay between awareness and epidemic spreading in multiplex networks
- Dynamics of Rumor Spreading in Complex Networks
- What's in a crowd? Analysis of face-to-face behavioral networks
- Theory of Rumour Spreading in Complex Social Networks
- Influence of fake news in Twitter during the 2016 US presidential election
- Activity driven modeling of time varying networks
- Science vs Conspiracy: collective narratives in the age of (mis)information
- Modern temporal network theory: A colloquium
- The fundamental advantages of temporal networks
- Information diffusion epidemics in social networks
- Time varying networks and the weakness of strong ties
- Absence of influential spreaders in rumor dynamics
- Fundamentals of spreading processes in single and multilayer complex networks
- Controlling Contagion Processes in Time-Varying Networks
- Temporal networks: slowing down diffusion by long lasting interactions
- Analytical computation of the epidemic threshold on temporal networks
- Modeling human dynamics of face-to-face interaction networks
- Effect of risk perception on epidemic spreading in temporal networks
- Epidemic Spreading on Activity-Driven Networks with Attractiveness
- How memory generates heterogeneous dynamics in temporal networks
- Emergence of influential spreaders in modified rumor models
- Birth and death of links control disease spreading in empirical contact networks
- Epidemic Threshold in Continuous-Time Evolving Networks
- Optimal resource diffusion for suppressing disease spreading in multiplex networks
- Temporal interactions facilitate endemicity in the susceptible-infected-susceptible epidemic model
- Concurrency-induced transitions in epidemic dynamics on temporal networks
- Social contagions on time-varying community networks
- Recovery rate affects the effective epidemic threshold with synchronous updating
- Dynamic vaccination in partially overlapped multiplex network
- Epidemic spreading and immunization strategy in multiplex networks
- Multiple outbreaks in epidemic spreading with local vaccination and limited vaccines