![](https://media.springernature.com/w215h120/springer-static/image/art%3A10.1007%2Fs13538-020-00772-9/MediaObjects/13538_2020_772_Fig1_HTML.png)
Overview
- Presents a broad, topical overview of the new and emerging discipline of network science
- Provides viewpoints from disciplines as varied as computer science, mathematics, engineering, physics, chemistry, biology, ecology, neuroscience, epidemiology, and the social sciences
- Includes contributions from an international selection of experts
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (11 chapters)
Reviews
From the reviews:
“Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. … the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. It is suitable for readers with any background.” (Hsun-Hsien Chang, ACM Computing Reviews, March, 2011)
Editors and Affiliations
Bibliographic Information
Book Title: Network Science
Book Subtitle: Complexity in Nature and Technology
Editors: Ernesto Estrada, Maria Fox, Desmond J. Higham, Gian-Luca Oppo
DOI: https://doi.org/10.1007/978-1-84996-396-1
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2010
Hardcover ISBN: 978-1-84996-395-4Published: 20 September 2010
Softcover ISBN: 978-1-4471-6034-2Published: 04 November 2014
eBook ISBN: 978-1-84996-396-1Published: 24 August 2010
Edition Number: 1
Number of Pages: XI, 245
Topics: Computer Communication Networks, Analysis, Algorithm Analysis and Problem Complexity, Health Informatics, Communications Engineering, Networks, Applications of Graph Theory and Complex Networks