Discrimination reveals reconstructability of multiplex networks from partial observations.

ABSTRACT: An excellent method for predicting links in multiplex networks is reflected in its ability to reconstruct them accurately. Although link prediction methods perform well on estimating the existence probability of each potential link in monoplex networks by the set of partially observed links, we lack a mathematical tool to reconstruct the multiplex network from the observed aggregate topology and partially observed links in multiplex networks. Here, we fill this gap by developing a theoretical and computational framework that builds a probability space containing possible structures with a maximum likelihood estimation. Then, we discovered that the discrimination, an indicator quantifying differences between layers from an entropy perspective, determines the reconstructability, i.e., the ac

SUBMITTER: Wu M 

PROVIDER: S-EPMC9243819 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature