Studies in Computational Intelligence

Complex Networks

Editors: Menezes, Ronaldo, Evsukoff, Alexandre, González, Marta C. (Eds.)

  • Latest research on Complex Networks
  • Results of the 3rd Workshop on Complex Networks Complenet 2012, Melbourne, Florida, USA March 7-9, 2012
  • Written by leading experts in the field
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About this book

In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few.

 

The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs).

 

The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks.

Table of contents (27 chapters)

  • Hybrid Centrality Measures for Binary and Weighted Networks

    Abbasi, Alireza (et al.)

    Pages 1-7

  • A Growing Model for Scale–Free Networks Embedded in Hyperbolic Metric Spaces

    Mangioni, Giuseppe (et al.)

    Pages 9-17

  • The Robustness of Balanced Boolean Networks

    Liu, Ming (et al.)

    Pages 19-30

  • Structural Evolution in Knowledge Transfer Network: An Agent-Based Model

    Xia, Haoxiang (et al.)

    Pages 31-38

  • Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers

    Junior, Marcos A. C. Oliveira (et al.)

    Pages 39-47

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-642-30287-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-642-30286-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.99
price for USA in USD
  • ISBN 978-3-642-43825-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Complex Networks
Editors
  • Ronaldo Menezes
  • Alexandre Evsukoff
  • Marta C. González
Series Title
Studies in Computational Intelligence
Series Volume
424
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-30287-9
DOI
10.1007/978-3-642-30287-9
Hardcover ISBN
978-3-642-30286-2
Softcover ISBN
978-3-642-43825-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 266
Topics