Physically-interpretable classification of biological network dynamics for complex collective motions.

ABSTRACT: Understanding biological network dynamics is a fundamental issue in various scientific and engineering fields. Network theory is capable of revealing the relationship between elements and their propagation; however, for complex collective motions, the network properties often transiently and complexly change. A fundamental question addressed here pertains to the classification of collective motion network based on physically-interpretable dynamical properties. Here we apply a data-driven spectral analysis called graph dynamic mode decomposition, which obtains the dynamical properties for collective motion classification. Using a ballgame as an example, we classified the strategic collective motions in different global behaviours and discovered that, in addition to the physical properties,

SUBMITTER: Fujii K 

PROVIDER: S-EPMC7033192 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature