Reconstructing networks from simple and complex contagions
<|reference_start|>Reconstructing networks from simple and complex contagions: Network scientists often use complex dynamic processes to describe network contagions, but tools for fitting contagion models typically assume simple dynamics. Here, we address this gap by developing a nonparametric method to reconstruct a network and dynamics from a series of node states, using a model that breaks the dichotomy between simple pairwise and complex neighborhood-based contagions. We then show that a network is more easily reconstructed when observed through the lens of complex contagions if it is dense or the dynamic saturates, and that simple contagions are better otherwise.<|reference_end|>
@article{landry2024reconstructing,
    title={Reconstructing networks from simple and complex contagions},
    author={Nicholas W. Landry, William Thompson, Laurent H'ebert-Dufresne, and
  Jean-Gabriel Young},
    journal={Phys. Rev. E 110, L042301 (2024)},
    year={2024},
    doi={10.1103/PhysRevE.110.L042301},
    archivePrefix={arXiv},
    eprint={2405.00129},
    primaryClass={cs.SI q-bio.PE stat.ML}
}