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Titlebook: Complex Systems andNetworks; Dynamics, Controls a Jinhu Lü,Xinghuo Yu,Wenwu Yu Book 2016 Springer-Verlag Berlin Heidelberg 2016 Complex Net

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书目名称Complex Systems andNetworks
副标题Dynamics, Controls a
编辑Jinhu Lü,Xinghuo Yu,Wenwu Yu
视频video
概述Recent research in Complex Networks.Gives a balanced overview of the state of the art in Complex Networks and applications with a particular engineering focus.Written by leading experts in the field.I
丛书名称Understanding Complex Systems
图书封面Titlebook: Complex Systems andNetworks; Dynamics, Controls a Jinhu Lü,Xinghuo Yu,Wenwu Yu Book 2016 Springer-Verlag Berlin Heidelberg 2016 Complex Net
描述.This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolut
出版日期Book 2016
关键词Complex Networks; Consensus; Control; Identification; Modelling; Multi-Agent Systems; Synchronization; comp
版次1
doihttps://doi.org/10.1007/978-3-662-47824-0
isbn_softcover978-3-662-50744-5
isbn_ebook978-3-662-47824-0Series ISSN 1860-0832 Series E-ISSN 1860-0840
issn_series 1860-0832
copyrightSpringer-Verlag Berlin Heidelberg 2016
The information of publication is updating

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978-3-662-50744-5Springer-Verlag Berlin Heidelberg 2016
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Oliver Farhauer,Alexandra Kröllph theory allows to perform insightful analysis for different kinds of data by representing the instances as nodes of a weighted network, where the weights characterize similarity between the data points. In this chapter we describe a number of algorithms to perform cluster analysis, that is finding
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Oliver Farhauer,Alexandra Kröll. We outline recent work in the area and focus on two high-performing algorithms for unipartite networks, the modularity-based . and the flow-based .. We survey modifications of modularity-based algorithms to adapt them to the bipartite case. As Infomap cannot be applied to bipartite networks for th
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