Ontology highlight
ABSTRACT:
SUBMITTER: Hoffmann T
PROVIDER: S-EPMC6981088 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Hoffmann Till T Peel Leto L Lambiotte Renaud R Jones Nick S NS
Science advances 20200124 4
We develop a Bayesian hierarchical model to identify communities of time series. Fitting the model provides an end-to-end community detection algorithm that does not extract information as a sequence of point estimates but propagates uncertainties from the raw data to the community labels. Our approach naturally supports multiscale community detection and the selection of an optimal scale using model comparison. We study the properties of the algorithm using synthetic data and apply it to daily ...[more]