Overview
- Making a great contribution to the development of multidisciplinary science
- Containing original results on the study of complex systems within the statistical physics
- Bringing together different issues of complex system physics and nonlinear dynamics
- Includes supplementary material: sn.pub/extras
Part of the book series: NATO Science for Peace and Security Series C: Environmental Security (NAPSC)
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Table of contents (20 papers)
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Front Matter
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Complexity in Earthquake Dynamics
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Front Matter
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Socio-, Econo- and Biophysics
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Front Matter
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Network Dynamics in Macroscale Systems
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Front Matter
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Quantum Network Dynamics
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Front Matter
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Keywords
About this book
Topics of complex system physics and their interdisciplinary applications to different problems in seismology, biology, economy, sociology, energy and nanotechnology are covered in this new work from renowned experts in their fields. In particular, contributed papers contain original results on network science, earthquake dynamics, econophysics, sociophysics, nanoscience and biological physics. Most of the papers use interdisciplinary approaches based on statistical physics, quantum physics and other topics of complex system physics. Papers on econophysics and sociophysics are focussed on societal aspects of physics such as, opinion dynamics, public debates and financial and economic stability. This work will be of interest to statistical physicists, economists, biologists, seismologists and all scientists working in interdisciplinary topics of complexity.
Editors and Affiliations
Bibliographic Information
Book Title: Nonlinear Phenomena in Complex Systems: From Nano to Macro Scale
Editors: Davron Matrasulov, H. Eugene Stanley
Series Title: NATO Science for Peace and Security Series C: Environmental Security
DOI: https://doi.org/10.1007/978-94-017-8704-8
Publisher: Springer Dordrecht
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2014
Hardcover ISBN: 978-94-017-8703-1Published: 25 April 2014
Softcover ISBN: 978-94-017-8707-9Published: 25 April 2014
eBook ISBN: 978-94-017-8704-8Published: 11 April 2014
Series ISSN: 1874-6519
Series E-ISSN: 1874-6543
Edition Number: 1
Number of Pages: XIII, 310
Number of Illustrations: 38 b/w illustrations, 92 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Complexity, Complex Systems, Applications of Graph Theory and Complex Networks