Abstract
In this chapter, hyper-networks and colored networks corresponding to hyper-graphs and colored graphs in mathematics are presented, which can be used to model real large-scale systems, such as neuronal networks, metabolic networks, social relationship networks, scientific collaboration networks, and so on. Firstly, similarly to the BA scale-free network, both growth and preferential attachment mechanisms are adopted to generate some evolving hyper-network models, including uniform and nonuniform hyper-networks. Secondly, a uniform dynamical hyper-network model is built and its synchronization is investigated using joint-degree matrix. Thirdly, a colored network with same-dimensional node dynamics is presented. The synchronization and control of both edge-colored and colored networks are studied. Finally, a general colored network with different-dimensional node dynamics is presented and its generalized matrix projective synchronization is achieved by applying open-plus-closed-loop control.
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Fu, X., Wu, Z., Chen, G. (2016). Synchronization and Control of Hyper-Networks and Colored Networks. In: Lü, J., Yu, X., Chen, G., Yu, W. (eds) Complex Systems and Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47824-0_5
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