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Table of contents

  1. Front Matter
    Pages i-viii
  2. Rocco Langone, Raghvendra Mall, Joos Vandewalle, Johan A. K. Suykens
    Pages 1-24
  3. Zhen Jin, Shuping Li, Xiaoguang Zhang, Juping Zhang, Xiao-Long Peng
    Pages 51-77
  4. Daqing Li
    Pages 79-106
  5. Xinchu Fu, Zhaoyan Wu, Guanrong Chen
    Pages 107-129
  6. Oleg Garasym, Ina Taralova, René Lozi
    Pages 131-161
  7. Yu Zhao, Guanghui Wen, Guanrong Chen
    Pages 163-206
  8. Hai-Tao Zhang, Zhaomeng Cheng, Ming-Can Fan, Yue Wu
    Pages 283-311
  9. Mario di Bernardo, Davide Fiore, Giovanni Russo, Francesco Scafuti
    Pages 313-339
  10. Xiang Li, Peng Yao, Yujian Pan
    Pages 341-371
  11. Choujun Zhan, Chi K. Tse, Michael Small
    Pages 373-393
  12. Soroush Haeri, Ljiljana Trajkovic
    Pages 395-422

About this book

Introduction

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.

 

 

Keywords

Complex Networks Consensus Control Identification Modelling Multi-Agent Systems Synchronization

Editors and affiliations

  • Jinhu Lü
    • 1
  • Xinghuo Yu
    • 2
  • Guanrong Chen
    • 3
  • Wenwu Yu
    • 4
  1. 1.Institute of Systems ScienceAcademy of Mathematics and Systems Science, Chinese Academy of SciencesBeijingChina
  2. 2.School of Electrical and Computer EngineeringRMIT UniversityMelbourneAustralia
  3. 3.Department of Electronic EngineeringCity University of Hong KongHong KongChina
  4. 4.Department of MathematicsSoutheast UniversityNanjingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-47824-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-47823-3
  • Online ISBN 978-3-662-47824-0
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • Buy this book on publisher's site
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