Time-dependent Personalized PageRank for temporal networks: discrete and continuous scales
<|reference_start|>Time-dependent Personalized PageRank for temporal networks: discrete and continuous scales: In this paper we explore the PageRank of temporal networks on both discrete and continuous time scales in the presence of personalization vectors that vary over time. Also the underlying interplay between the discrete and continuous settings arising from discretization is highlighted. Additionally, localization results that set bounds to the estimated influence of the personalization vector on the ranking of a particular node are given. The theoretical results are illustrated by means of some real and synthetic examples.<|reference_end|>
@article{aleja2024time-dependent,
    title={Time-dependent Personalized PageRank for temporal networks: discrete and
  continuous scales},
    author={David Aleja, Julio Flores, Eva Primo, and Miguel Romance},
    journal={arXiv preprint arXiv:2407.06198},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.06198},
    primaryClass={cs.SI}
}