Mathematical model of information bubbles on networks
<|reference_start|>Mathematical model of information bubbles on networks: The main goal of this paper to introduce a new model of evolvement of narratives (common opinions, information bubble) on networks. Our main tools come from invariant mean theory and graph theory. The case, when the root set of the network (influencers, news agencies, etc.) is ergodic is fully discussed. The other possibility, when the root contains more than one component is partially discussed and it could be a motivation for further research.<|reference_end|>
@article{burai2024mathematical,
    title={Mathematical model of information bubbles on networks},
    author={P'al Burai and Pawe{l} Pasteczka},
    journal={arXiv preprint arXiv:2403.13875},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.13875},
    primaryClass={cs.SI math.PR physics.soc-ph}
}