Complex Systems and Networks: Dynamics, Controls and Applications (Understanding Complex Systems)

Lü, Jinhu, Xinghuo Yu and Guanrong Chen:

ISBN 10: 3662478234 / ISBN 13: 9783662478233

Published by Springer, 2016

About this Item

490 Seiten Bibliothek-Ex. Stempel, Seiten sehr sauber- leichte Lesespuren, LL-3-3-3 Wir akzeptieren nur Vorkasse. Sprache: Englisch Gewicht in Gramm: 711 15,6 x 2,7 x 23,4 cm, Gebundene Ausgabe. Seller Inventory # 77933

Bibliographic Details

Title: Complex Systems and Networks: Dynamics, ...

Publisher: Springer

Publication Date: 2016

Binding: Hardcover

Condition: Sehr gut

Edition: Auflage: 1st ed. 2016.

About this title

Synopsis:

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 evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.