Title :
Optimal synchronizability of complex dynamical networks
Author :
Kun, Dai ; Xiaofan, Wang
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai
Abstract :
In this paper, we propose an eigenvector criterion for achieving optimal synchronizability in a dynamical network. Two synchronization-optimal small-world (SOSW) models are generated by adding or rewiring edges from a nearest-neighbor coupled regular network according to the eigenvector criterion. We find that networks having very similar topology characteristics may have different synchronizability which reveals the complexity of the relationship between synchronizability and structure topologies of complex networks.
Keywords :
complex networks; eigenvalues and eigenfunctions; network theory (graphs); synchronisation; topology; complex dynamical networks; eigenvector criterion; nearest-neighbor coupled regular network; optimal synchronizability; synchronization-optimal small-world models; topology characteristics; Automation; Complex networks; Couplings; Eigenvalues and eigenfunctions; Electronic mail; Network topology; Optimal control; Optimization methods; Social network services; Symmetric matrices; Eigenvector Criterion; Small-World Network; Synchronizability;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605643
