title: Dynamics-based scalability of complex networks.
abstract: We address the fundamental issue of network scalability in terms of dynamics and topology. In particular, we consider different network topologies and investigate, for every given topology, the dependence of certain dynamical properties on the network size. By focusing on network synchronizability, we find both analytically and numerically that globally coupled networks and random networks are scalable, but locally coupled regular networks are not. Scale-free networks are scalable for certain types of node dynamics. We expect our findings to provide insights into the ubiquity and workings of networks arising in nature and to be potentially useful for designing technological networks as well.
authors.affiliation: Department of Electrical Engineering, Arizona State University, Tempe, Arizona 85287, USA.
authors.forename: Liang
authors.initials: L
authors.lastname: Huang
authors.forename: Ying-Cheng
authors.initials: YC
authors.lastname: Lai
authors.forename: Robert A
authors.initials: RA
authors.lastname: Gatenby
mesh_terms: D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D009991:Oscillometry; D011336:Probability