Overview
- Nominated as an outstanding contribution by the ETH Zurich
- Presents powerful new methods for understanding economic and corporate networks
- Written in a lucid and accessible style
- Will appeal to readers from many disciplines that involve complex networks
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (6 chapters)
Keywords
About this book
Reviews
From the reviews:
“Grattfelder’s book develops a set of analytical and numerical tools which investigate the economic system as a large scale network. … The reader searching for a methodological reference and new ideas on how to study economic networks will find in this book an invaluable source of information. … of paramount interest for anyone concerned with social applications of complex networks and, in particular, for social simulators who want to base their models on new network measures and new stylized facts to better understand socioeconomic phenomena.” (Simone Righi, Journal of Artificial Societies and Social Simulation, 2012)Authors and Affiliations
Bibliographic Information
Book Title: Decoding Complexity
Book Subtitle: Uncovering Patterns in Economic Networks
Authors: James B. Glattfelder
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-642-33424-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-33423-8Published: 09 November 2012
Softcover ISBN: 978-3-642-42663-6Published: 14 December 2014
eBook ISBN: 978-3-642-33424-5Published: 08 November 2012
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVI, 228
Topics: Applications of Graph Theory and Complex Networks, Economic Theory/Quantitative Economics/Mathematical Methods, Game Theory, Economics, Social and Behav. Sciences, Complex Systems, Complexity