Overview
- Unified and comprehensive overview of stochastic methods to describe quantitatively behavioral changes based on social interaction processes.
- Presents numerous applications of the theoretical concepts.
- New chapters on Dynamic Decision Behavior, Optimal Self-Organization, Self-Organization in Space and Induced by Fluctuations, Drift- or Fluctuation-Induced Ordering and Self-Organization in Driven Many Particle Systems.
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Table of contents (13 chapters)
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Stochastic Methods and Non-linear Dynamics
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Quantitative Models of Social Processes
Keywords
About this book
Reviews
From the reviews:
“This ambitious volume aims to provide a comprehensive account of mathematical methods for the quantitative study of social processes, with a focus on stochastic methods. … To summarise, as an introduction to such mathematics, it is admirably comprehensive and goes through the various derivations in a careful step-by-step manner. … an excellent reference for those with some mathematical expertise in the area to refer to. For those who straddle the simulation and mathematical communities it could be very useful.” (Bruce Edmonds and Mario Paolucci, Journal of Artificial Societies and Social Simulation, April, 2012)Authors and Affiliations
Bibliographic Information
Book Title: Quantitative Sociodynamics
Book Subtitle: Stochastic Methods and Models of Social Interaction Processes
Authors: Dirk Helbing
DOI: https://doi.org/10.1007/978-3-642-11546-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-11545-5Published: 16 November 2010
Softcover ISBN: 978-3-642-42402-1Published: 08 November 2014
eBook ISBN: 978-3-642-11546-2Published: 15 November 2010
Edition Number: 2
Number of Pages: XXIX, 333
Additional Information: Originally published by Springer Netherlands
Topics: Probability Theory and Stochastic Processes, Operations Research/Decision Theory, Game Theory, Economics, Social and Behav. Sciences, Data-driven Science, Modeling and Theory Building, Social Sciences, general