Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2009-08-19
Nonlinear Sciences
Adaptation and Self-Organizing Systems
4 pages, 4 figures
Scientific paper
Links in a practical network may have different functions, which makes the original network a combination of some functional subnetworks. Here, by a model of coupled oscillators, we investigate how such functional subnetworks are evolved and developed according to the network structure and dynamics. In particular, we study the case of evolutionary clustered networks in which the function of each link (either attractive or repulsive coupling) is updated by the local dynamics. It is found that, during the process of system evolution, the network is gradually stabilized into a particular form in which the attractive (repulsive) subnetwork consists only the intralinks (interlinks). Based on the properties of subnetwork evolution, we also propose a new algorithm for network partition which is distinguished by the convenient operation and fast computing speed.
Lai Choy-Heng
Li Menghui
Wang Xingang
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