Complex Networks
Editors: Menezes, Ronaldo, Evsukoff, Alexandre, González, Marta C. (Eds.)
Free Preview- 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
Buy this book
- 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
Pages 1-7
-
A Growing Model for Scale–Free Networks Embedded in Hyperbolic Metric Spaces
Pages 9-17
-
The Robustness of Balanced Boolean Networks
Pages 19-30
-
Structural Evolution in Knowledge Transfer Network: An Agent-Based Model
Pages 31-38
-
Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers
Pages 39-47
-
Table of contents (27 chapters)
Buy this book
Services for this Book
Recommended for you
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
