Complex contagions can outperform simple contagions for network reconstruction with dense networks or saturated dynamics

arXiv:2405.00129v1 Announce Type: cross
Abstract: 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 …

abstract arxiv contagion cs.si dynamic dynamics gap network networks processes q-bio.pe scientists series simple stat.ml tools type