  Chimera-like states are manifested through the coexistence of synchronous and
asynchronous dynamics and have been observed in various systems. To analyze the
role of network topology in giving rise to chimera-like states we study a
heterogeneous network model comprising two group of nodes, of high and low
degrees of connectivity. The architecture facilitates the analysis of the
system, which separates into a densely-connected coherent group of nodes,
perturbed by their sparsely-connected drifting neighbors. It describes a
synchronous behavior of the densely-connected group and scaling properties of
the induced perturbations.
