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Table of contents (12 chapters)
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Front Matter
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Introduction and Summary
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Stochastic Methods and Non-Linear Dynamics
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Back Matter
Keywords
About this book
Quantitative Sociodynamics provides a unified and comprehensive overview of the different stochastic methods, their interrelations and properties. In addition, it introduces the most important concepts from nonlinear dynamics (synergetics, chaos theory). The applicability of these fascinating concepts to social phenomena is carefully discussed. By incorporating decision-theoretical approaches a very fundamental dynamic model is obtained which seems to open new perspectives in the social sciences. It includes many established models as special cases, e.g. the logistic equation, the gravity model, some diffusion models, the evolutionary game theory and the social field theory, but it also implies numerous new results. Examples concerning opinion formation, migration, social field theory; the self-organization of behavioural conventions as well as the behaviour of customers and voters are presented and illustrated by computer simulations.
Quantitative Sociodynamics is relevant both for social scientists and natural scientists who are interested in the application of stochastic and synergetics concepts to interdisciplinary topics.
Authors and Affiliations
Bibliographic Information
Book Title: Quantitative Sociodynamics
Book Subtitle: Stochastic Methods and Models of Social Interaction Processes
Authors: Dirk Helbing
Series Title: Theory and Decision Library B
DOI: https://doi.org/10.1007/978-94-015-8516-3
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1995
eBook ISBN: 978-94-015-8516-3Published: 14 March 2013
Edition Number: 1
Number of Pages: XIX, 339
Number of Illustrations: 79 b/w illustrations
Additional Information: Originally published in German
Topics: Complex Systems, Operations Research/Decision Theory, Game Theory, Economics, Social and Behav. Sciences, Probability Theory and Stochastic Processes, Statistical Physics and Dynamical Systems