Editors:
- Edited and authored by leading researchers in the field
- First volume dedicated to this emerging field
- Consists of topical, self-contained chapters
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (12 chapters)
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Front Matter
About this book
This volume provides an introduction to and overview of the emerging field of interconnected networks which include multilayer or multiplex networks, as well as networks of networks. Such networks present structural and dynamical features quite different from those observed in isolated networks. The presence of links between different networks or layers of a network typically alters the way such interconnected networks behave – understanding the role of interconnecting links is therefore a crucial step towards a more accurate description of real-world systems. While examples of such dissimilar properties are becoming more abundant – for example regarding diffusion, robustness and competition – the root of such differences remains to be elucidated.
Each chapter in this topical collection is self-contained and can be read on its own, thus making it also suitable as reference for experienced researchers wishing to focus on a particular topic.
Editors and Affiliations
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Systems Design, ETH Zürich, Zürich, Switzerland
Antonios Garas
Bibliographic Information
Book Title: Interconnected Networks
Editors: Antonios Garas
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-319-23947-7
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-23945-3Published: 11 February 2016
Softcover ISBN: 978-3-319-79560-7Published: 30 March 2018
eBook ISBN: 978-3-319-23947-7Published: 04 February 2016
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XVI, 229
Number of Illustrations: 12 b/w illustrations, 63 illustrations in colour
Topics: Applications of Graph Theory and Complex Networks, Complex Systems, Communications Engineering, Networks, Complexity