Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2007-07-23
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, 4 figures
Scientific paper
10.1103/PhysRevE.77.056208
Recent studies have shown that synchronizability of complex networks can be significantly improved by asymmetric couplings, and increase of coupling gradient is always in favor of network synchronization. Here we argue and demonstrate that, for typical complex networks, there usually exists an optimal coupling gradient under which the maximum network synchronizability is achieved. After this optimal value, increase of coupling gradient could deteriorate synchronization. We attribute the suppression of network synchronization at large gradient to the phenomenon of network breaking, and find that, in comparing with sparsely connected homogeneous networks, densely connected heterogeneous networks have the superiority of adopting large gradient. The findings are supported by indirect simulations of eigenvalue analysis and direct simulations of coupled nonidentical oscillator networks.
Lai Choy Heng
Lai Ying-Cheng
Wang Xingang
Zhou Cangtao
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