Adversarial attacks on voter model dynamics in complex networks
arXiv:2111.09561 · doi:10.1103/PhysRevE.106.014301
Abstract
This study investigates adversarial attacks conducted to distort voter model dynamics in complex networks. Specifically, a simple adversarial attack method is proposed to hold the state of opinions of an individual closer to the target state in the voter model dynamics. This indicates that even when one opinion is the majority, the vote outcome can be inverted (i.e., the outcome can lean toward the other opinion) by adding extremely small (hard-to-detect) perturbations strategically generated in social networks. Adversarial attacks are relatively more effective in complex (large and dense) networks. These results indicate that opinion dynamics can be unknowingly distorted.
arXiv comment7 pages, 5 figures
References in corpus (19)
- Emergence of scaling in random networks
- Statistical mechanics of complex networks
- Statistical physics of social dynamics
- Voter Model on Heterogeneous Graphs
- Nonequilibrium phase transition in the coevolution of networks and opinions
- Voter Models on Heterogeneous Networks
- Voter model dynamics in complex networks: Role of dimensionality, disorder and degree distribution
- Is the Voter Model a model for voters?
- Incomplete ordering of the voter model on small-world networks
- Binary-state dynamics on complex networks: pair approximation and beyond
- The noisy voter model on complex networks
- Binary and Multivariate Stochastic Models of Consensus Formation
- Zealots in the mean-field noisy voter model
- Voter models on weighted networks
- Interface Motion and Pinning in Small World Networks
- Stochastic pair approximation treatment of the noisy voter model
- Voter model on a directed network: Role of bidirectional opinion exchanges
- Quenched mean-field theory for the majority-vote model on complex networks
- Binary dynamics on star networks under external perturbations