title: Inducing isolated-desynchronization states in complex network of coupled chaotic oscillators.
abstract: In a recent study about chaos synchronization in complex networks [Nat. Commun. 5, 4079 (2014)NCAOBW2041-172310.1038/ncomms5079], it is shown that a stable synchronous cluster may coexist with vast asynchronous nodes, resembling the phenomenon of a chimera state observed in a regular network of coupled periodic oscillators. Although of practical significance, this new type of state, namely, the isolated-desynchronization state, is hardly observed in practice due to its strict requirements on the network topology. Here, by the strategy of pinning coupling, we propose an effective method for inducing isolated-desynchronization states in symmetric networks of coupled chaotic oscillators. Theoretical analysis based on eigenvalue analysis shows that, by pinning a group of symmetric nodes in the network, there exists a critical pinning strength beyond which the group of pinned nodes can completely be synchronized while the unpinned nodes remain asynchronous. The feasibility and efficiency of the control method are verified by numerical simulations of both artificial and real-world complex networks with the numerical results in good agreement with the theoretical predictions.
authors.affiliation: School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.|Department of Physics, Zhejiang University, Hangzhou 310027, China.
authors.forename: Weijie
authors.initials: W
authors.lastname: Lin
authors.affiliation: School of Science, Beijing University of Posts and Communications, Beijing 100876, China.
authors.forename: Huiyan
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Physics, Zhejiang University, Hangzhou 310027, China.
authors.forename: Heping
authors.initials: H
authors.lastname: Ying
authors.affiliation: School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.
authors.forename: Xingang
authors.initials: X
authors.lastname: Wang