Detecting intermittent switching leadership in coupled dynamical systems.

ABSTRACT: Leader-follower relationships are commonly hypothesized as a fundamental mechanism underlying collective behaviour in many biological and physical systems. Understanding the emergence of such behaviour is relevant in science and engineering to control the dynamics of complex systems toward a desired state. In prior works, due in part to the limitations of existing methods for dissecting intermittent causal relationships, leadership is assumed to be consistent in time and space. This assumption has been contradicted by recent progress in the study of animal behaviour. In this work, we leverage information theory and time series analysis to propose a novel and simple method for dissecting changes in causal influence. Our approach computes the cumulative influence function of a given individu

SUBMITTER: Mwaffo V 

PROVIDER: S-EPMC6037816 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature