Information Entropy in Chimera States of Human Dynamics

In human dynamics, functioning relies on intricate coordination patterns. Networks
of synchronized oscillators in various biological and semiotic fields shape these
dynamics. We have observed stability, instability, and transitions at multiple levels, indicating
that coordination happens on all scales. We have examined coordination models
for simplified and complex dynamics. In empirical research, we can frequently observe
chimera states as the coexistence of coherence and incoherence, even in homogeneous networks.
They are more evident in the heterogenous networks’ standard in human dynamics,
where oscillators and nodes are mixed as different types. This paper proposes a simplified
and overarching model for mixed chimeras. We discuss the information dynamics
in these types of networks and their pattern transitions.