Overview
- A quantitative approach to hierarchy
- Written by leading experts on complex systems
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Complexity (BRIEFSCOMPLEXITY)
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About this book
Although it focuses on hierarchical collective behavior in general, two aspects pop up in the majority of cases: collective motion and dynamically changing, partially directed networks (and the natural relation between the two). In addition, it offers a brief description of the most relevant definitions and concepts involved in the context of hierarchies, presenting both a review of the current literature and a number of new experimental and computational results in more detail. It is a valuable resource for students and scholars pursuing research on the structure of interactions within the collectives of animals and humans.
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Keywords
- Directed Networks
- Dominance Hierarchies
- Embedded Flow
- Emergence of Structures
- Global Reaching Centrality
- Hierarchical Networks
- Hierarchical Organization
- Knowledge Based Hierarchies
- Leadership-followership Network
- Optimization of Performance
- Hierarchical structures
- Collective decision-making
- Liska model
- Emergence of hierarchy
- Switchboard dynamics
- Flow hierarchy
- Dominance relations
- complexity
Table of contents (7 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Why We Live in Hierarchies?
Book Subtitle: A Quantitative Treatise
Authors: Anna Zafeiris, Tamás Vicsek
Series Title: SpringerBriefs in Complexity
DOI: https://doi.org/10.1007/978-3-319-70483-8
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-70481-4Published: 05 February 2018
eBook ISBN: 978-3-319-70483-8Published: 05 November 2017
Series ISSN: 2191-5326
Series E-ISSN: 2191-5334
Edition Number: 1
Number of Pages: XIV, 110
Number of Illustrations: 3 b/w illustrations, 39 illustrations in colour
Topics: Applications of Graph Theory and Complex Networks, Complex Systems, Complexity, Statistical Physics and Dynamical Systems, Societal Aspects of Physics, Outreach and Education